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  • WPF ListView as a DataGrid – Part 3

    - by psheriff
    I have had a lot of great feedback on the blog post about turning the ListView into a DataGrid by creating GridViewColumn objects on the fly. So, in the last 2 parts, I showed a couple of different methods for accomplishing this. Let’s now look at one more and that is use Reflection to extract the properties from a Product, Customer, or Employee object to create the columns. Yes, Reflection is a slower approach, but you could create the columns one time then cache the View object for re-use. Another potential drawback is you may have columns in your object that you do not wish to display on your ListView. But, just because so many people asked, here is how to accomplish this using Reflection.   Figure 1: Use Reflection to create GridViewColumns. Using Reflection to gather property names is actually quite simple. First you need to pass any type (Product, Customer, Employee, etc.) to a method like I did in my last two blog posts on this subject. Below is the method that I created in the WPFListViewCommon class that now uses reflection. C#public static GridView CreateGridViewColumns(Type anyType){  // Create the GridView  GridView gv = new GridView();  GridViewColumn gvc;   // Get the public properties.  PropertyInfo[] propInfo =          anyType.GetProperties(BindingFlags.Public |                                BindingFlags.Instance);   foreach (PropertyInfo item in propInfo)  {    gvc = new GridViewColumn();    gvc.DisplayMemberBinding = new Binding(item.Name);    gvc.Header = item.Name;    gvc.Width = Double.NaN;    gv.Columns.Add(gvc);  }   return gv;} VB.NETPublic Shared Function CreateGridViewColumns( _  ByVal anyType As Type) As GridView  ' Create the GridView   Dim gv As New GridView()  Dim gvc As GridViewColumn   ' Get the public properties.   Dim propInfo As PropertyInfo() = _    anyType.GetProperties(BindingFlags.Public Or _                          BindingFlags.Instance)   For Each item As PropertyInfo In propInfo    gvc = New GridViewColumn()    gvc.DisplayMemberBinding = New Binding(item.Name)    gvc.Header = item.Name    gvc.Width = [Double].NaN    gv.Columns.Add(gvc)  Next   Return gvEnd Function The key to using Relection is using the GetProperties method on the type you pass in. When you pass in a Product object as Type, you can now use the GetProperties method and specify, via flags, which properties you wish to return. In the code that I wrote, I am just retrieving the Public properties and only those that are Instance properties. I do not want any static/Shared properties or private properties. GetProperties returns an array of PropertyInfo objects. You can loop through this array and build your GridViewColumn objects by reading the Name property from the PropertyInfo object. Build the Product Screen To populate the ListView shown in Figure 1, you might write code like the following: C#private void CollectionSample(){  Product prod = new Product();   // Setup the GridView Columns  lstData.View =      WPFListViewCommon.CreateGridViewColumns(typeOf(Product));  lstData.DataContext = prod.GetProducts();} VB.NETPrivate Sub CollectionSample()  Dim prod As New Product()   ' Setup the GridView Columns  lstData.View = WPFListViewCommon.CreateGridViewColumns( _       GetType(Product))  lstData.DataContext = prod.GetProducts()End Sub All you need to do now is to pass in a Type object from your Product class that you can get by using the typeOf() function in C# or the GetType() function in VB. That’s all there is to it! Summary There are so many different ways to approach the same problem in programming. That is what makes programming so much fun! In this blog post I showed you how to create ListView columns on the fly using Reflection. This gives you a lot of flexibility without having to write extra code as was done previously. NOTE: You can download the complete sample code (in both VB and C#) at my website. http://www.pdsa.com/downloads. Choose Tips & Tricks, then "WPF ListView as a DataGrid – Part 3" from the drop-down. Good Luck with your Coding,Paul Sheriff ** SPECIAL OFFER FOR MY BLOG READERS **Visit http://www.pdsa.com/Event/Blog for a free eBook on "Fundamentals of N-Tier".  

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  • “Being Agile” Means No Documentation, Right?

    - by jesschadwick
    Ask most software professionals what Agile is and they’ll probably start talking about flexibility and delivering what the customer wants.  Some may even mention the word “iterations”.  But inevitably, they’ll say at some point that it means less or even no documentation.  After all, doesn’t creating, updating, and circulating painstakingly comprehensive documentation that everyone and their mother have officially signed off on go against the very core of Agile?  Of course it does!  But really, they’re missing the point! Read The Agile Manifesto. (No, seriously - read it now. It’s short. I’ll wait.)  It’s essentially a list of values.  More specifically, it’s a right-side/left-side weighted list of values:  “Value this over that”. Many people seem to get the impression that this is really a “good vs. bad” list and that those values on the right side are evil and should essentially be tossed on the floor.  This leads to the conclusion that in order to be Agile we must throw away our fancy expensive tools, document as little as possible, and scoff at the idea of a project plan.  This conclusion is quite convenient because it essentially means “less work, more productivity!” (particularly in regards to the documentation and project planning).  I couldn’t disagree with this conclusion more. My interpretation of the Manifesto targets “over” as the operative word.  It’s not just a list of right vs. wrong or good vs. bad.  It’s a list of priorities.  In other words, none of the concepts on the list should be removed from your development lifecycle – they are all important… just not equally important.  This is not a unique interpretation, in fact it says so right at the end of the manifesto! So, the next time your team sits down to tackle that big new project, don’t make the first order of business to outlaw all meetings, documentation, and project plans.  Instead, collaborate with both your team and the business members involved (you do have business members sitting in the room, directly involved in the project planning, right?) and determine the bare minimum that will allow all of you to work and communicate in the best way possible.  This often means that you can pick and choose which parts of the Agile methodologies and process work for your particular project and end up with an amalgamation of Waterfall, Agile, XP, SCRUM and whatever other methodologies the members of your team have been exposed to (my favorite is “SCRUMerfall”). The biggest implication of this is that there is no one way to implement Agile.  There is no checklist with which you can tick off boxes and confidently conclude that, “Yep, we’re Agile™!”  In fact, depending on your business and the members of your team, moving to Agile full-bore may actually be ill-advised.  Such a drastic change just ends up taking everyone out of their comfort zone which they inevitably fall back into by the end of the project.  This often results in frustration to the point that Agile is abandoned altogether because “we just need to ship something!”  Needless to say, this is far more devastating to a project. Instead, I offer this approach: keep it simple and take it slow.  If your business members or customers are only involved at the beginning phases and nowhere to be seen until the project is delivered, invite them to your daily meetings; encourage them to keep up to speed on what’s going on on a daily basis and provide feedback.  If your current process is heavy on the documentation, try to reduce it as opposed to eliminating it outright.  If you need a “TPS Change Request” signed in triplicate with a 5-day “cooling off period” before a change is implemented, try a simple bug tracking system!  Tighten the feedback loop! Finally, at the end of every “iteration” (whatever that means to you, as long as it’s relatively frequent), take as much time as you can spare (even if it’s an hour or so) and perform some kind of retrospective.  Learn from your mistakes.  Figure out what’s working for you and what’s not, then fix it.  Before you know it you’ve got a handful of iterations and/or projects under your belt and you sit down with your team to realize that, “Hey, this is working - we’re pretty Agile!”  After all, Agile is a Zen journey.  It’s a destination that you aim for, not force, and even if you never reach true “enlightenment” that doesn’t mean your team can’t be exponentially better off from merely taking the journey.

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  • Interview with Tomas Ulin at the MySQL Innovation Day

    - by Monica Kumar
    MySQL Innovation Day held on June 5, 2012 was a great event for the MySQL engineers, users and customers to gather, share and network. I was able to get a few minutes with Tomas Ulin, Vice President of MySQL Engineering at Oracle, to ask him some questions. Here are the highlights of my interview with Tomas. Monica: This was the first MySQL Innovation Day, correct?  Why now, what was the strategy behind hosting this kind of event? Tomas: In the last year, we have rolled out an incredible number of MySQL events worldwide – some targeted at developers that are new to MySQL and others for the MySQL savvy. At the MySQL Innovation Day, our first event of this kind,, we had a number of our key engineers presenting lightning talks delivering previews of key new features as well as discussing roadmap. Our goal is to keep an open dialogue with the MySQL community. In fact, we are hosting a two-day conference, another first, for the MySQL community called MySQL Connect on Sept. 29-30 in San Francisco. If you attended the MySQL Innovation Day and liked what we did, you are going to love MySQL Connect. We’ll have a lot more of our engineers and many users and community members presenting hour long sessions and hands on labs. Our engineers will be presenting new MySQL features as well offer previews of upcoming enhancements. Monica: What's the big take-away from today's MySQL Innovation Day? Tomas: I hope the most important takeaway for attendees was to see that Oracle has been driving, and continues to drive MySQL innovation with a steady stream of new great GA and Development Milestone releases. Monica: What were attendees most interested in? What feedback did they have? Tomas: Feedback from attendees was incredibly positive and encouraging. In particular, they liked the interaction with the MySQL engineers and were also excited about the new early access features in MySQL 5.6 and MySQL Cluster 7.3. In addition, sessions delivered by MySQL users like Facebook, Pinterest and Twitter were very well received. For example, Pinterest talked about using MySQL to scale from 0 to billions of page views/month, Twitter talked about “Scaling twitter with MySQL” and Facebook discussed the many options to implement MySQL master failover solutions. The presentations are already available for download while some of the session videos will be made available on the MySQL Innovation Day web page shortly. Monica: How would you distinguish the use of MySQL vs. Oracle Database? What key factors should customers consider? Tomas: MySQL and Oracle Database complement each other. They are very different products, best suited to different use cases. Customers can choose world-class solutions from Oracle to fulfill a variety of needs. MySQL is a great choice for enterprise web-based, custom and embedded apps. Oracle Database is the leading choice for enterprise packaged applications such as ERP, CRM as well as high-end data warehousing and business intelligence applications. Monica: What are the highlights of the current MySQL 5.6 Development Milestone Release and early access features for MySQL Cluster 7.3? Tomas: MySQL 5.6 development milestone release builds on MySQL 5.5 by improving: Optimizer for better Performance, Scalability Performance Schema for better instrumentation InnoDB for better transactional throughput Replication for higher availability, data integrity NoSQL options for more flexibility We announced some new early access features in MySQL 5.6, including binary log group commit. We also announced early access features in MySQL Cluster 7.3 including support for foreign key constraints. Monica: How do people get these releases? Tomas: You can access development milestone releases by going to: http://dev.mysql.com/downloads/mysqlThen select the “Development Release” tab. The MySQL Cluster 7.3 and other early access features can be downloaded at: http://labs.mysql.com Monica: What's coming up next for MySQL? Tomas: Our development team is working in overdrive, cranking out new features with community feedback. Don’t miss the MySQL Connect conference being held in San Francisco on Sept. 29 and 30th. My team and I will be there. I hope you can join us! Monica: Thank you for your time, Tomas. I look forward to seeing you at the MySQL Connect conference. To our followers, I hope you found this interview informative. I welcome your comments. Please stay tuned here for more updates on MySQL. Note: Monica Kumar is Senior Director of product marketing for Linux, Virtualization and MySQL at Oracle.

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  • jQuery 1.4 Opacity and IE Filters

    - by Rick Strahl
    Ran into a small problem today with my client side jQuery library after switching to jQuery 1.4. I ran into a problem with a shadow plugin that I use to provide drop shadows for absolute elements – for Mozilla WebKit browsers the –moz-box-shadow and –webkit-box-shadow CSS attributes are used but for IE a manual element is created to provide the shadow that underlays the original element along with a blur filter to provide the fuzziness in the shadow. Some of the key pieces are: var vis = el.is(":visible"); if (!vis) el.show(); // must be visible to get .position var pos = el.position(); if (typeof shEl.style.filter == "string") sh.css("filter", 'progid:DXImageTransform.Microsoft.Blur(makeShadow=true, pixelradius=3, shadowOpacity=' + opt.opacity.toString() + ')'); sh.show() .css({ position: "absolute", width: el.outerWidth(), height: el.outerHeight(), opacity: opt.opacity, background: opt.color, left: pos.left + opt.offset, top: pos.top + opt.offset }); This has always worked in previous versions of jQuery, but with 1.4 the original filter no longer works. It appears that applying the opacity after the original filter wipes out the original filter. IOW, the opacity filter is not applied incrementally, but absolutely which is a real bummer. Luckily the workaround is relatively easy by just switching the order in which the opacity and filter are applied. If I apply the blur after the opacity I get my correct behavior back with both opacity: sh.show() .css({ position: "absolute", width: el.outerWidth(), height: el.outerHeight(), opacity: opt.opacity, background: opt.color, left: pos.left + opt.offset, top: pos.top + opt.offset }); if (typeof shEl.style.filter == "string") sh.css("filter", 'progid:DXImageTransform.Microsoft.Blur(makeShadow=true, pixelradius=3, shadowOpacity=' + opt.opacity.toString() + ')'); While this works this still causes problems in other areas where opacity is implicitly set in code such as for fade operations or in the case of my shadow component the style/property watcher that keeps the shadow and main object linked. Both of these may set the opacity explicitly and that is still broken as it will effectively kill the blur filter. This seems like a really strange design decision by the jQuery team, since clearly the jquery css function does the right thing for setting filters. Internally however, the opacity setting doesn’t use .css instead hardcoding the filter which given jQuery’s usual flexibility and smart code seems really inappropriate. The following is from jQuery.js 1.4: var style = elem.style || elem, set = value !== undefined; // IE uses filters for opacity if ( !jQuery.support.opacity && name === "opacity" ) { if ( set ) { // IE has trouble with opacity if it does not have layout // Force it by setting the zoom level style.zoom = 1; // Set the alpha filter to set the opacity var opacity = parseInt( value, 10 ) + "" === "NaN" ? "" : "alpha(opacity=" + value * 100 + ")"; var filter = style.filter || jQuery.curCSS( elem, "filter" ) || ""; style.filter = ralpha.test(filter) ? filter.replace(ralpha, opacity) : opacity; } return style.filter && style.filter.indexOf("opacity=") >= 0 ? (parseFloat( ropacity.exec(style.filter)[1] ) / 100) + "": ""; } You can see here that the style is explicitly set in code rather than relying on $.css() to assign the value resulting in the old filter getting wiped out. jQuery 1.32 looks a little different: // IE uses filters for opacity if ( !jQuery.support.opacity && name == "opacity" ) { if ( set ) { // IE has trouble with opacity if it does not have layout // Force it by setting the zoom level elem.zoom = 1; // Set the alpha filter to set the opacity elem.filter = (elem.filter || "").replace( /alpha\([^)]*\)/, "" ) + (parseInt( value ) + '' == "NaN" ? "" : "alpha(opacity=" + value * 100 + ")"); } return elem.filter && elem.filter.indexOf("opacity=") >= 0 ? (parseFloat( elem.filter.match(/opacity=([^)]*)/)[1] ) / 100) + '': ""; } Offhand I’m not sure why the latter works better since it too is assigning the filter. However, when checking with the IE script debugger I can see that there are actually a couple of filter tags assigned when using jQuery 1.32 but only one when I use jQuery 1.4. Note also that the jQuery 1.3 compatibility plugin for jQUery 1.4 doesn’t address this issue either. Resources ww.jquery.js (shadow plug-in $.fn.shadow) © Rick Strahl, West Wind Technologies, 2005-2010Posted in jQuery  

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  • How to create a new Team Project Collection in TFS2010:

    - by jehan
    TFS 2010 has introduced the notion of Team Project Collection (TPC).  I have already discussed about TPC in my earlier post, you can check it out here. In this post, I will demonstrate how to create a new Team Project Collection in TFS2010. First, you have to open the TFS Administration Console (Start à All Programs à Microsoft Team Foundation Server 2010 à Team Foundation Server Administration Console), expand the Application Tier node in TFS Administration Console and click on Team Project Collection. Here you will see the TPC’s which are already exist, I am having only one TPC named New Collection and I’m going to create a new TPC called Demo Collection. To create a new Team Project Collection, you need to click on Create Collection; it will open the Create New Team Project Collection window.     Under the Name tab, you have to enter the name of Collection which you want to give for your new TPC (I naming it as Demo Collection). You can also provide some description about your TPC in Description tab which is optional and click next. Here, you need to enter the name of SQL Server Instance where you want your new TPC data to reside. You have the option either to choose the creating a Database for this TPC or use the already existing empty database and then click next.   In next screen, you have to choose SharePoint configuration. Here you have the options to either configure SharePoint Site for TPC at default collections or you can specify the your existing SharePoint site and  you can also choose not  to configure the SharePoint for this collection, if you choose last option then you cannot configure the Share Point sites for the all the Team Projects under this Project Collection. You also have the flexibility to create a Share Point site for this TPC later on, then if you need you have to configure SharePoint site for the existing team projects manually.   In next screen, you will have the Reports configuration. Here you have the options to either configure the Reports for TPC at default path or you can specify the path for at existing Reports folder, you can also choose not to configure the Reports for this collection, if you choose last option then you cannot create  the Reports  for the all the Team Projects under this Project Collection. Here also you can enable reporting for this TPC later on. The next screen is related to Lab Management Configuration, Lab Management is the new feature in TFS2010 which enables the users to create and manage virtual test environments where you can deploy and test your application. There are no options available here as I don’t have the Lab Management configured for my Team Foundation Server. The next screen is Review Configuration window, which will show up all the configuration settings you have specified, so that you can review the configurations before creating the Team Project Collection. If you want to make any changes to the configurations then you can go back to the previous windows and can make the changes. After Reviewing the configuration settings, you can click on verify button. Which will verify that if you’re Team Project Collection is ready to be created or not, it will show up the errors and warning (if any) which can make your Team Project Collection fail. You can then choose to create the Team Project Collection if the verify option doesn’t throw any warnings and errors. If the verify option throws any errors, then it is strongly suggested that you have to first rectify the issues then only go for TPC creation especially in case of warnings as it is a common practice to overlook the warnings.   If you choose the create TPC option, then it will start the process of creating a Team Project Collection  and once its completed you can check the status of configuration different components  during Team Project Collection. You can see in below screen that all the components are configured successfully.   In next screen, you can find the location of log file created for this Team Project Creation, this log file is really important in case of Team Project creation failure because it will help you to find  the root cause for the failure. Now, you can see that the New Team Projection (Demo Collection) which was created is now available in Team Foundation Collection tab and its status is Online.   You can now try to connect to this Team Project Collection from Team Explorer. Choose the newly created Team Project Collection and click on connect.     This Team Project Collection is empty because no Team Projects are created yet. Now, you can create the new Team Projects and start working.

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  • ODI 12c's Mapping Designer - Combining Flow Based and Expression Based Mapping

    - by Madhu Nair
    post by David Allan ODI is renowned for its declarative designer and minimal expression based paradigm. The new ODI 12c release has extended this even further to provide an extended declarative mapping designer. The ODI 12c mapper is a fusion of ODI's new declarative designer with the familiar flow based designer while retaining ODI’s key differentiators of: Minimal expression based definition, The ability to incrementally design an interface and to extract/load data from any combination of sources, and most importantly Backed by ODI’s extensible knowledge module framework. The declarative nature of the product has been extended to include an extensible library of common components that can be used to easily build simple to complex data integration solutions. Big usability improvements through consistent interactions of components and concepts all constructed around the familiar knowledge module framework provide the utmost flexibility. Here is a little taster: So what is a mapping? A mapping comprises of a logical design and at least one physical design, it may have many. A mapping can have many targets, of any technology and can be arbitrarily complex. You can build reusable mappings and use them in other mappings or other reusable mappings. In the example below all of the information from an Oracle bonus table and a bonus file are joined with an Oracle employees table before being written to a target. Some things that are cool include the one-click expression cross referencing so you can easily see what's used where within the design. The logical design in a mapping describes what you want to accomplish  (see the animated GIF here illustrating how the above mapping was designed) . The physical design lets you configure how it is to be accomplished. So you could have one logical design that is realized as an initial load in one physical design and as an incremental load in another. In the physical design below we can customize how the mapping is accomplished by picking Knowledge Modules, in ODI 12c you can pick multiple nodes (on logical or physical) and see common properties. This is useful as we can quickly compare property values across objects - below we can see knowledge modules settings on the access points between execution units side by side, in the example one table is retrieved via database links and the other is an external table. In the logical design I had selected an append mode for the integration type, so by default the IKM on the target will choose the most suitable/default IKM - which in this case is an in-built Oracle Insert IKM (see image below). This supports insert and select hints for the Oracle database (the ANSI SQL Insert IKM does not support these), so by default you will get direct path inserts with Oracle on this statement. In ODI 12c, the mapper is just that, a mapper. Design your mapping, write to multiple targets, the targets can be in the same data server, in different data servers or in totally different technologies - it does not matter. ODI 12c will derive and generate a plan that you can use or customize with knowledge modules. Some of the use cases which are greatly simplified include multiple heterogeneous targets, multi target inserts for Oracle and writing of XML. Let's switch it up now and look at a slightly different example to illustrate expression reuse. In ODI you can define reusable expressions using user functions. These can be reused across mappings and the implementations specialized per technology. So you can have common expressions across Oracle, SQL Server, Hive etc. shielding the design from the physical aspects of the generated language. Another way to reuse is within a mapping itself. In ODI 12c expressions can be defined and reused within a mapping. Rather than replicating the expression text in larger expressions you can decompose into smaller snippets, below you can see UNIT_TAX AMOUNT has been defined and is used in two downstream target columns - its used in the TOTAL_TAX_AMOUNT plus its used in the UNIT_TAX_AMOUNT (a recording of the calculation).  You can see the columns that the expressions depend on (upstream) and the columns the expression is used in (downstream) highlighted within the mapper. Also multi selecting attributes is a convenient way to see what's being used where, below I have selected the TOTAL_TAX_AMOUNT in the target datastore and the UNIT_TAX_AMOUNT in UNIT_CALC. You can now see many expressions at once now and understand much more at the once time without needlessly clicking around and memorizing information. Our mantra during development was to keep it simple and make the tool more powerful and do even more for the user. The development team was a fusion of many teams from Oracle Warehouse Builder, Sunopsis and BEA Aqualogic, debating and perfecting the mapper in ODI 12c. This was quite a project from supporting the capabilities of ODI in 11g to building the flow based mapping tool to support the future. I hope this was a useful insight, there is so much more to come on this topic, this is just a preview of much more that you will see of the mapper in ODI 12c.

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  • Oracle Enterprise Data Quality: Ever Integration-ready

    - by Mala Narasimharajan
    It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:   Integration, Integration, Integration! As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box. Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated: Address verification and cleansing  Individual matching Organization matching The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.   Excerpt from EDQ’s CDS Individual Name Standardization Dictionary CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products. Here is a brief guide to the main services provided in the pack: Address Verification and Standardization EDQ’s CDS Address Cleaning Process The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically: Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API Optimization of address verification by pre-standardizing data where required Formatting of output addresses into the input address fields normally used by applications Adding descriptions of the address verification and geocoding return codes The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.     Duplicate Prevention Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits. The process is explained below: EDQ Duplicate Prevention Architecture Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit). Batch Matching In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required. When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes. The Future The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including: An out-of-the-box Data Quality Dashboard Even more comprehensive international data handling Address search (suggesting multiple results) Integrated address matching The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

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  • SQLAuthority News – Technology and Online Learning – Personal Technology Tip

    - by pinaldave
    This is the fourth post in my series about Personal Technology Tips and Tricks, and I knew exactly what I wanted to write about.  But at first I was conflicted.   Is online learning really a personal tip?  Is it really a trick that no one knows?  However, I have decided to stick with my original idea because online learning is everywhere.  It’s a trick that we can’t – and shouldn’t – overlook.  Here are ten of my ideas about how we should be taking advantage of online learning. 1) Get ahead in the work place.  We all know that a good way to become better at your job, and to become more competitive for promotions and raises.  Many people overlook online learning as a way to get job training, though, thinking it is a path for people still seeking their high school or college diplomas.  But take a look at what companies like Pluralsight offer, and you might be pleasantly surprised. 2) Flexibility.  Some of us remember the heady days of college with nostalgia, others remember it with loathing.  A lot of bad memories come from remembering the strict scheduling and deadlines of college.  But with online learning, the classes fit into your free time – you don’t have to schedule your life around classes.  Even better, there are usually no homework or test deadlines, only one final deadline where all work must be completed.  This allows students to work at their own pace – my next point. 3) Learn at your own pace.  One thing traditional classes suffer from is that they are highly structured.  If you work more quickly than the rest of the class, or especially if you work more slowly, traditional classes do not work for you.  Online courses let you move as quickly or as slowly as you find necessary. 4) Fill gaps in your knowledge.  I’m sure I am not the only one who has thought to myself “I would love to take a course on X, Y, or Z.”  The problem is that it can be very hard to find the perfect class that teaches exactly what you’re interested in, at a time and a price that’s right.  But online courses are far easier to tailor exactly to your tastes. 5) Fits into your schedule.  Even harder to find than a class you’re interested in is one that fits into your schedule.  If you hold down a job – even a part time job – you know it’s next to impossible to find class times that work for you.  Online classes can be taken anytime, anywhere.  On your lunch break, in your car, or in your pajamas at the end of the day. 6) Student centered.  Online learning has to stay competitive.  There are hundreds, even thousands of options for students, and every provider has to find a way to lure in students and provide them with a good education.  The best kind of online classes know that they need to provide great classes, flexible scheduling, and high quality to attract students – and the student benefit from this kind of attention. 7) You can save money.  The average cost for a college diploma in the US is over $20,000.  I don’t know about you, but that is not the kind of money I just have lying around for a rainy day.  Sometimes I think I’d love to go back to school, but not for that price tag.  Online courses are much, much more affordable.  And even better, you can pick and choose what courses you’d like to take, and avoid all the “electives” in college. 8) Get access to the best minds in the business.  One of the perks of being the best in your field is that you are one person who knows the most about something.  If students are lucky, you will choose to share that knowledge with them on a college campus.  For the hundreds of other students who don’t live in your area and don’t attend your school, they are out of luck.  But luckily for them, more and more online courses is attracting the best minds in the business, and if you enroll online, you can take advantage of these minds, too. 9) Save your time.  Getting a four year degree is a great decision, and I encourage everyone to pursue their Bachelor’s – and beyond.  But if you have already tried to go to school, or already have a degree but are thinking of switching fields, four years of your life is a long time to go back and redo things.  Getting your online degree will save you time by allowing you to work at your own pace, set your own schedule, and take only the classes you’re interested in. 10) Variety of degrees and programs.  If you’re not sure what you’re interested in, or if you only need a few classes here and there to finish a program, online classes are perfect for you.  You can pick and choose what you’d like, and sample a wide variety without spending too much money. I hope I’ve outlined for everyone just a few ways that they could benefit from online learning.  If you’re still unconvinced, just check out a few of my other articles that expand more on these topics. Here are the blog posts relevent to developer trainings: Developer Training - Importance and Significance - Part 1 Developer Training – Employee Morals and Ethics – Part 2 Developer Training – Difficult Questions and Alternative Perspective - Part 3 Developer Training – Various Options for Developer Training – Part 4 Developer Training – A Conclusive Summary- Part 5 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Developer Training, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Developer Training

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  • Getting WCF Bindings and Behaviors from any config source

    - by cibrax
    The need of loading WCF bindings or behaviors from different sources such as files in a disk or databases is a common requirement when dealing with configuration either on the client side or the service side. The traditional way to accomplish this in WCF is loading everything from the standard configuration section (serviceModel section) or creating all the bindings and behaviors by hand in code. However, there is a solution in the middle that becomes handy when more flexibility is needed. This solution involves getting the configuration from any place, and use that configuration to automatically configure any existing binding or behavior instance created with code.  In order to configure a binding instance (System.ServiceModel.Channels.Binding) that you later inject in any endpoint on the client channel or the service host, you first need to get a binding configuration section from any configuration file (you can generate a temp file on the fly if you are using any other source for storing the configuration).  private BindingsSection GetBindingsSection(string path) { System.Configuration.Configuration config = System.Configuration.ConfigurationManager.OpenMappedExeConfiguration( new System.Configuration.ExeConfigurationFileMap() { ExeConfigFilename = path }, System.Configuration.ConfigurationUserLevel.None); var serviceModel = ServiceModelSectionGroup.GetSectionGroup(config); return serviceModel.Bindings; }   The BindingsSection contains a list of all the configured bindings in the serviceModel configuration section, so you can iterate through all the configured binding that get the one you need (You don’t need to have a complete serviceModel section, a section with the bindings only works).  public Binding ResolveBinding(string name) { BindingsSection section = GetBindingsSection(path); foreach (var bindingCollection in section.BindingCollections) { if (bindingCollection.ConfiguredBindings.Count > 0 && bindingCollection.ConfiguredBindings[0].Name == name) { var bindingElement = bindingCollection.ConfiguredBindings[0]; var binding = (Binding)Activator.CreateInstance(bindingCollection.BindingType); binding.Name = bindingElement.Name; bindingElement.ApplyConfiguration(binding); return binding; } } return null; }   The code above does just that, and also instantiates and configures the Binding object (System.ServiceModel.Channels.Binding) you are looking for. As you can see, the binding configuration element contains a method “ApplyConfiguration” that receives the binding instance that needs to be configured. A similar thing can be done for instance with the “Endpoint” behaviors. You first get the BehaviorsSection, and then, the behavior you want to use.  private BehaviorsSection GetBehaviorsSection(string path) { System.Configuration.Configuration config = System.Configuration.ConfigurationManager.OpenMappedExeConfiguration( new System.Configuration.ExeConfigurationFileMap() { ExeConfigFilename = path }, System.Configuration.ConfigurationUserLevel.None); var serviceModel = ServiceModelSectionGroup.GetSectionGroup(config); return serviceModel.Behaviors; }public List<IEndpointBehavior> ResolveEndpointBehavior(string name) { BehaviorsSection section = GetBehaviorsSection(path); List<IEndpointBehavior> endpointBehaviors = new List<IEndpointBehavior>(); if (section.EndpointBehaviors.Count > 0 && section.EndpointBehaviors[0].Name == name) { var behaviorCollectionElement = section.EndpointBehaviors[0]; foreach (BehaviorExtensionElement behaviorExtension in behaviorCollectionElement) { object extension = behaviorExtension.GetType().InvokeMember("CreateBehavior", BindingFlags.InvokeMethod | BindingFlags.NonPublic | BindingFlags.Instance, null, behaviorExtension, null); endpointBehaviors.Add((IEndpointBehavior)extension); } return endpointBehaviors; } return null; }   In this case, the code for creating the behavior instance is more tricky. First of all, a behavior in the configuration section actually represents a set of “IEndpoint” behaviors, and the behavior element you get from the configuration does not have any public method to configure an existing behavior instance. This last one only contains a protected method “CreateBehavior” that you can use for that purpose. Once you get this code implemented, a client channel can be easily configured as follows  var binding = resolver.ResolveBinding("MyBinding"); var behaviors = resolver.ResolveEndpointBehavior("MyBehavior"); SampleServiceClient client = new SampleServiceClient(binding, new EndpointAddress(new Uri("http://localhost:13749/SampleService.svc"), new DnsEndpointIdentity("localhost"))); foreach (var behavior in behaviors) { if(client.Endpoint.Behaviors.Contains(behavior.GetType())) { client.Endpoint.Behaviors.Remove(behavior.GetType()); } client.Endpoint.Behaviors.Add(behavior); }   The code above assumes that a configuration file (in any place) with a binding “MyBinding” and a behavior “MyBehavior” exists. That file can look like this,  <system.serviceModel> <bindings> <basicHttpBinding> <binding name="MyBinding"> <security mode="Transport"></security> </binding> </basicHttpBinding> </bindings> <behaviors> <endpointBehaviors> <behavior name="MyBehavior"> <clientCredentials> <windows/> </clientCredentials> </behavior> </endpointBehaviors> </behaviors> </system.serviceModel>   The same thing can be done of course in the service host if you want to manually configure the bindings and behaviors.  

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  • NoSQL Memcached API for MySQL: Latest Updates

    - by Mat Keep
    With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have 

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  • Partition Wise Joins

    - by jean-pierre.dijcks
    Some say they are the holy grail of parallel computing and PWJ is the basis for a shared nothing system and the only join method that is available on a shared nothing system (yes this is oversimplified!). The magic in Oracle is of course that is one of many ways to join data. And yes, this is the old flexibility vs. simplicity discussion all over, so I won't go there... the point is that what you must do in a shared nothing system, you can do in Oracle with the same speed and methods. The Theory A partition wise join is a join between (for simplicity) two tables that are partitioned on the same column with the same partitioning scheme. In shared nothing this is effectively hard partitioning locating data on a specific node / storage combo. In Oracle is is logical partitioning. If you now join the two tables on that partitioned column you can break up the join in smaller joins exactly along the partitions in the data. Since they are partitioned (grouped) into the same buckets, all values required to do the join live in the equivalent bucket on either sides. No need to talk to anyone else, no need to redistribute data to anyone else... in short, the optimal join method for parallel processing of two large data sets. PWJ's in Oracle Since we do not hard partition the data across nodes in Oracle we use the Partitioning option to the database to create the buckets, then set the Degree of Parallelism (or run Auto DOP - see here) and get our PWJs. The main questions always asked are: How many partitions should I create? What should my DOP be? In a shared nothing system the answer is of course, as many partitions as there are nodes which will be your DOP. In Oracle we do want you to look at the workload and concurrency, and once you know that to understand the following rules of thumb. Within Oracle we have more ways of joining of data, so it is important to understand some of the PWJ ideas and what it means if you have an uneven distribution across processes. Assume we have a simple scenario where we partition the data on a hash key resulting in 4 hash partitions (H1 -H4). We have 2 parallel processes that have been tasked with reading these partitions (P1 - P2). The work is evenly divided assuming the partitions are the same size and we can scan this in time t1 as shown below. Now assume that we have changed the system and have a 5th partition but still have our 2 workers P1 and P2. The time it takes is actually 50% more assuming the 5th partition has the same size as the original H1 - H4 partitions. In other words to scan these 5 partitions, the time t2 it takes is not 1/5th more expensive, it is a lot more expensive and some other join plans may now start to look exciting to the optimizer. Just to post the disclaimer, it is not as simple as I state it here, but you get the idea on how much more expensive this plan may now look... Based on this little example there are a few rules of thumb to follow to get the partition wise joins. First, choose a DOP that is a factor of two (2). So always choose something like 2, 4, 8, 16, 32 and so on... Second, choose a number of partitions that is larger or equal to 2* DOP. Third, make sure the number of partitions is divisible through 2 without orphans. This is also known as an even number... Fourth, choose a stable partition count strategy, which is typically hash, which can be a sub partitioning strategy rather than the main strategy (range - hash is a popular one). Fifth, make sure you do this on the join key between the two large tables you want to join (and this should be the obvious one...). Translating this into an example: DOP = 8 (determined based on concurrency or by using Auto DOP with a cap due to concurrency) says that the number of partitions >= 16. Number of hash (sub) partitions = 32, which gives each process four partitions to work on. This number is somewhat arbitrary and depends on your data and system. In this case my main reasoning is that if you get more room on the box you can easily move the DOP for the query to 16 without repartitioning... and of course it makes for no leftovers on the table... And yes, we recommend up-to-date statistics. And before you start complaining, do read this post on a cool way to do stats in 11.

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  • Simple Excel Export with EPPlus

    - by Jesse Taber
    Originally posted on: http://geekswithblogs.net/GruffCode/archive/2013/10/30/simple-excel-export-with-epplus.aspxAnyone I’ve ever met who works with an application that sits in front of a lot of data loves it when they can get that data exported to an Excel file for them to mess around with offline. As both developer and end user of a little website project that I’ve been working on, I found myself wanting to be able to get a bunch of the data that the application was collecting into an Excel file. The great thing about being both an end user and a developer on a project is that you can build the features that you really want! While putting this feature together I came across the fantastic EPPlus library. This library is certainly very well known and popular, but I was so impressed with it that I thought it was worth a quick blog post. This library is extremely powerful; it lets you create and manipulate Excel 2007/2010 spreadsheets in .NET code with a high degree of flexibility. My only gripe with the project is that they are not touting how insanely easy it is to build a basic Excel workbook from a simple data source. If I were running this project the approach I’m about to demonstrate in this post would be front and center on the landing page for the project because it shows how easy it really is to get started and serves as a good way to ease yourself in to some of the more advanced features. The website in question uses RavenDB, which means that we’re dealing with POCOs to model the data throughout all layers of the application. I love working like this so when it came time to figure out how to export some of this data to an Excel spreadsheet I wanted to find a way to take an IEnumerable<T> and just have it dumped to Excel with each item in the collection being modeled as a single row in the Excel worksheet. Consider the following class: public class Employee { public int Id { get; set; } public string Name { get; set; } public decimal HourlyRate { get; set; } public DateTime HireDate { get; set; } } Now let’s say we have a collection of these represented as an IEnumerable<Employee> and we want to be able to output it to an Excel file for offline querying/manipulation. As it turns out, this is dead simple to do with EPPlus. Have a look: public void ExportToExcel(IEnumerable<Employee> employees, FileInfo targetFile) { using (var excelFile = new ExcelPackage(targetFile)) { var worksheet = excelFile.Workbook.Worksheets.Add("Sheet1"); worksheet.Cells["A1"].LoadFromCollection(Collection: employees, PrintHeaders: true); excelFile.Save(); } } That’s it. Let’s break down what’s going on here: Create a ExcelPackage to model the workbook (Excel file). Note that the ‘targetFile’ value here is a FileInfo object representing the location on disk where I want the file to be saved. Create a worksheet within the workbook. Get a reference to the top-leftmost cell (addressed as A1) and invoke the ‘LoadFromCollection’ method, passing it our collection of Employee objects. Behind the scenes this is reflecting over the properties of the type provided and pulling out any public members to become columns in the resulting Excel output. The ‘PrintHeaders’ parameter tells EPPlus to grab the name of the property and put it in the first row. Save the Excel file All of the heavy lifting here is being done by the ‘LoadFromCollection’ method, and that’s a good thing. Now, this was really easy to do, but it has some limitations. Using this approach you get a very plain, un-styled Excel worksheet. The column widths are all set to the default. The number format for all cells is ‘General’ (which proves particularly interesting if you have a DateTime property in your data source). I’m a “no frills” guy, so I wasn’t bothered at all by trading off simplicity for style and formatting. That said, EPPlus has tons of samples that you can download that illustrate how to apply styles and formatting to cells and a ton of other advanced features that are way beyond the scope of this post.

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  • Building InstallShield based Installers using Team Build 2010

    - by jehan
    Last few weeks, I have been working on Application Packaging stuff using all the widely used tools like InstallShield, WISE, WiX and Visual Studio Installer. So, I thought it would be good to post about how to Build the Installers developed using these tools with Team Build 2010. This post will focus on how to build the InstallShield generated packages using Team Build 2010. For the release of VS2010, Microsoft has partnered with Flexera who are the makers of InstallShield to create InstallShield Limited Edition, especially for the customers of Visual Studio. First Microsoft planned to release WiX (Windows Installer Xml) with VS2010, but later Microsoft dropped  WiX from VS2010 due to reasons which are best known to them and partnered with InstallShield for Limited Edition. It disappointed lot of people because InstallShield Limited Edition provides only few features of InstallShield and it may not feasable to build complex installer packages using this and it also requires License, where as WiX is an open source with no license costs and it has proved efficient in building most complex packages. Only the last three features are available in InstallShield Limited Edition from the total features offered by InstallShield as shown in below list.                                                                                            Feature Limited Edition for Visual Studio 2010 Standalone Build System Maintain a clean build machine by using only the part of InstallShield that compiles the installations. InstallShield Best Practices Validation Suite Avoid common installation issues. Try and Die Functionality RCreate a fully functional trial version of your product. InstallShield Repackager Create Windows Installer setups from any legacy installation. Multilingual Support Present installation text in up to 35 languages. Microsoft App-V™ Support Deploy your applications as App-V virtual packages that run without conflict. Industry-Standard InstallScript Achieve maximum flexibility in your installations. Dialog Editor Modify the layout of existing end-user dialogs, create new custom dialogs, and more. Patch Creation Build updates and patches for your products. Setup Prerequisite Editor Easily control prerequisite restart behavior and source locations. String Editor View Control the localizable text strings displayed at run time with this spreadsheet-like table. Text File Changes View Configure search-and-replace actions for content in text files to be modified at run time. Virtual Machine Detection Block your installations from running on virtual machines. Unicode Support Improve multi-language installation development. Support for 64-Bit COM Extraction Extract COM data from a 64-bit COM server. Windows Installer Installation Chaining Add MSI packages to your main installation and chain them together. XML Support Save time by quickly testing XML configuration changes to installation projects. Billboard Support for Custom Branding Display Adobe Flash billboards and other graphic files during the install process. SaaS Support (IIS 7 and SSL Technologies) Easily deploy Windows-based Web applications. Project Assistant Jumpstart a project by using a simplified set of views. Support for Digital Signatures Save time by digitally signing all your files at build time. Easily Run Custom Actions Schedule a custom action to run at precisely the right moment in your installation. Installation Prerequisites Check for and install prerequisites before your installation is executed. To create a InstallShield project in Visual Studio and Build it using Team Build 2010, first you have to add the InstallShield Project template  to your Solution file. If you want to use InstallShield Limited edition you can add it from FileàNewà project àother Project Types àSetup and Deploymentà InstallShield LE and if you are using other versions of InstallShield, then you have to add it from  from FileàNewà project àInstallShield Projects. Here, I’m using  InstallShield 2011 Premier edition as I already have it Installed. I have created a simple package for TailSpin Application which has a Feature called Web, few components and a IIS Web Site for  TailSpin application.   Before started working on this, I thought I may need to build the package by calling invoke process activity in build process template or have to create a new custom activity. But, it got build without any changes to build process template. But, it was failing with below error message. C:\Program Files (x86)\MSBuild\InstallShield\2011\InstallShield.targets (68): The "InstallShield.Tasks.InstallShield" task could not be loaded from the assembly C:\Program Files (x86)\MSBuild\InstallShield\2010Limited\InstallShield.Tasks.dll. Could not load file or assembly 'file:///C:\Program Files(x86)\MSBuild\InstallShield\2011\InstallShield.Tasks.dll' or one of its dependencies. An attempt was made to load a program with an incorrect format. Confirm that the <UsingTask> declaration is correct, that the assembly and all its dependencies are available, and that the task contains a public class that implements Microsoft.Build.Framework.ITask. This error is due to 64-bit build machine which I’m using. This issue will be replicable if you are queuing a build on a 64-bit build machine. To avoid this you have to ensure that you configured the build definition for your InstallShield project to load the InstallShield.Tasks.dll file (which is a 32-bit file); otherwise, you will encounter this build error informing you that the InstallShield.Tasks.dll file could not be loaded. To select the 32-bit version of MSBuild, click the Process tab of your build definition in Team Explorer. Then, under the Advanced node, find the MSBuild Platform setting, and select x86. Note that if you are using a 32-bit build machine, you can select either Auto or x86 for the MSBuild Platform setting.  Once I did above changes, the build got successful.

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  • Hello With Oracle Identity Manager Architecture

    - by mustafakaya
    Hi, my name is Mustafa! I'm a Senior Consultant in Fusion Middleware Team and living in Istanbul,Turkey. I worked many various Java based software development projects such as end-to-end web applications, CRM , Telco VAS and integration projects.I want to share my experiences and research about Fusion Middleware Products in this column. Customer always wants best solution from software consultants or developers. Solution will be a code snippet or change complete architecture. We faced different requests according to the case of customer. In my posts i want to discuss Fusion Middleware Products Architecture or how can extend usability with apis or UI customization and more and I look forward to engaging with you on your experiences and thoughts on this.  In my first post, i will be discussing Oracle Identity Manager architecture  and i plan to discuss Oracle Identity Manager 11g features in next posts. Oracle Identity Manager System Architecture Oracle Identity Governance includes Oracle Identity Manager,Oracle Identity Analytics and Oracle Privileged Account Manager. I will discuss Oracle Identity Manager architecture in this post.  In basically, Oracle Identity Manager is a n-tier standard  Java EE application that is deployed on Oracle WebLogic Server and uses  a database .  Oracle Identity Manager presentation tier has three different screen and two different client. Identity Self Service and Identity System Administration are web-based thin client. Design Console is a Java Swing Client that communicates directly with the Business Service Tier.  Identity Self Service provides end-user operations and delegated administration features. System Administration provides system administration functions. And Design Console mostly use for development management operations such as  create and manage adapter and process form,notification , workflow desing, reconciliation rules etc. Business service tier is implemented as an Enterprise JavaBeans(EJB) application. So you can extense Oracle Identity Manager capabilities.  -The SMPL and EJB APIs allow develop custom plug-ins such as management roles or identities.  -Identity Services allow use core business capabilites of Oracle Identity Manager such as The User provisioning or reconciliation service. -Integration Services allow develop custom connectors or adapters for various deployment needs. -Platform Services allow use Entitlement Servers, Scheduler or SOA composites. The Middleware tier allows you using capabilites ADF Faces,SOA Suites, Scheduler, Entitlement Server and BI Publisher Reports. So OIM allows you to configure workflows uses Oracle SOA Suite or define authorization policies use with Oracle Entitlement Server. Also you can customization of OIM UI without need to write code and using ADF Business Editor  you can extend custom attributes to user,role,catalog and other objects. Data tiers; Oracle Identity Manager is driven by data and metadata which provides flexibility and adaptability to Oracle Identity Manager functionlities.  -Database has five schemas these are OIM,SOA,MDS,OPSS and OES. Oracle Identity Manager uses database to store runtime and configuration data. And all of entity, transactional and audit datas are stored in database. -Metadata Store; customizations and personalizations are stored in file-based repository or database-based repository.And Oracle Identity Manager architecture,the metadata is in Oracle Identity Manager database to take advantage of some of the advanced performance and availability features that this mode provides. -Identity Store; Oracle Identity Manager provides the ability to integrate an LDAP-based identity store into Oracle Identity Manager architecture.  Oracle Identity Manager uses the human workflow module of Oracle Service Oriented Architecture Suite. OIM connects to SOA using the T3 URL which is front-end URL for the SOA server.Oracle Identity Manager uses embedded Oracle Entitlement Server for authorization checks in OIM engine.  Several Oracle Identity Manager modules use JMS queues. Each queue is processed by a separate Message Driven Bean (MDB), which is also part of the Oracle Identity Manager application. Message producers are also part of the Oracle Identity Manager application. Oracle Identity Manager uses a scheduled jobs for some activities in the background.Some of scheduled jobs come with Out-Of-Box such as the disable users after the end date of the users or you can define your custom schedule jobs with Oracle Identity Manager APIs. You can use Oracle BI Publisher for reporting Oracle Identity Manager transactions or audit data which are in database. About me: Mustafa Kaya is a Senior Consultant in Oracle Fusion Middleware Team, living in Istanbul. Before coming to Oracle, he worked in teams developing web applications and backend services at a telco company. He is a Java technology enthusiast, software engineer and addicted to learn new technologies,develop new ideas. Follow Mustafa on Twitter,Connect on LinkedIn, and visit his site for Oracle Fusion Middleware related tips.

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  • Optimizing collision engine bottleneck

    - by Vittorio Romeo
    Foreword: I'm aware that optimizing this bottleneck is not a necessity - the engine is already very fast. I, however, for fun and educational purposes, would love to find a way to make the engine even faster. I'm creating a general-purpose C++ 2D collision detection/response engine, with an emphasis on flexibility and speed. Here's a very basic diagram of its architecture: Basically, the main class is World, which owns (manages memory) of a ResolverBase*, a SpatialBase* and a vector<Body*>. SpatialBase is a pure virtual class which deals with broad-phase collision detection. ResolverBase is a pure virtual class which deals with collision resolution. The bodies communicate to the World::SpatialBase* with SpatialInfo objects, owned by the bodies themselves. There currenly is one spatial class: Grid : SpatialBase, which is a basic fixed 2D grid. It has it's own info class, GridInfo : SpatialInfo. Here's how its architecture looks: The Grid class owns a 2D array of Cell*. The Cell class contains two collection of (not owned) Body*: a vector<Body*> which contains all the bodies that are in the cell, and a map<int, vector<Body*>> which contains all the bodies that are in the cell, divided in groups. Bodies, in fact, have a groupId int that is used for collision groups. GridInfo objects also contain non-owning pointers to the cells the body is in. As I previously said, the engine is based on groups. Body::getGroups() returns a vector<int> of all the groups the body is part of. Body::getGroupsToCheck() returns a vector<int> of all the groups the body has to check collision against. Bodies can occupy more than a single cell. GridInfo always stores non-owning pointers to the occupied cells. After the bodies move, collision detection happens. We assume that all bodies are axis-aligned bounding boxes. How broad-phase collision detection works: Part 1: spatial info update For each Body body: Top-leftmost occupied cell and bottom-rightmost occupied cells are calculated. If they differ from the previous cells, body.gridInfo.cells is cleared, and filled with all the cells the body occupies (2D for loop from the top-leftmost cell to the bottom-rightmost cell). body is now guaranteed to know what cells it occupies. For a performance boost, it stores a pointer to every map<int, vector<Body*>> of every cell it occupies where the int is a group of body->getGroupsToCheck(). These pointers get stored in gridInfo->queries, which is simply a vector<map<int, vector<Body*>>*>. body is now guaranteed to have a pointer to every vector<Body*> of bodies of groups it needs to check collision against. These pointers are stored in gridInfo->queries. Part 2: actual collision checks For each Body body: body clears and fills a vector<Body*> bodiesToCheck, which contains all the bodies it needs to check against. Duplicates are avoided (bodies can belong to more than one group) by checking if bodiesToCheck already contains the body we're trying to add. const vector<Body*>& GridInfo::getBodiesToCheck() { bodiesToCheck.clear(); for(const auto& q : queries) for(const auto& b : *q) if(!contains(bodiesToCheck, b)) bodiesToCheck.push_back(b); return bodiesToCheck; } The GridInfo::getBodiesToCheck() method IS THE BOTTLENECK. The bodiesToCheck vector must be filled for every body update because bodies could have moved meanwhile. It also needs to prevent duplicate collision checks. The contains function simply checks if the vector already contains a body with std::find. Collision is checked and resolved for every body in bodiesToCheck. That's it. So, I've been trying to optimize this broad-phase collision detection for quite a while now. Every time I try something else than the current architecture/setup, something doesn't go as planned or I make assumption about the simulation that later are proven to be false. My question is: how can I optimize the broad-phase of my collision engine maintaining the grouped bodies approach? Is there some kind of magic C++ optimization that can be applied here? Can the architecture be redesigned in order to allow for more performance? Actual implementation: SSVSCollsion Body.h, Body.cpp World.h, World.cpp Grid.h, Grid.cpp Cell.h, Cell.cpp GridInfo.h, GridInfo.cpp

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  • 2012 Oracle Fusion Innovation Awards - Part 2

    - by Michelle Kimihira
    Author: Moazzam Chaudry Continuing from Friday's blog on 2012 Oracle Fusion Innovation Awards, this blog (Part 2) will provide more details around the customers. It was a tremendous honor to be in single room of winners. We only wish we could have had more time to share stories from all the winners.  We received great insight from all the innovative solutions that our customers deploy and would like to share them broadly, so that others can benefit from best practices. There was a customer panel session joined by Ingersoll Rand, Nike and Motability and here is what was discussed: Barry Bonar, Enterprise Architect from Ingersoll Rand shared details around their solution, comprised of Oracle Exalogic, Oracle WebLogic Server and Oracle SOA Suite. This combined solutoin enabled their business transformation to increase decision-making, speed and efficiency, resulting in 40% reduced IT spend, 41X Faster response time and huge cost savings. Ashok Balakrishnan, Architect from Nike shared how they leveraged Oracle Coherence to analyze their digital "footprint" of activities. This helps them compete, collaborate and compare athletic data over time. Lastly, Ashley Doodly, Head of IT from Motability shared details around their solution compromised of Oracle SOA Suite, Service Bus, ADF, Coherence, BO and E-Business Suite. This solution helped Motability achieve 100% ROI within the first few months, performance in seconds vs. 10's of minutes and tremendous improvement in throughput that increased up to 50%.  This year's winners by category are: Oracle Exalogic Customer Results using Fusion Middleware Netshoes ATG on Exalogic: 6X Reduced H/W foot print, 6.2X increased throughput and 3 weeks time to market Claro Part of America Movil, running mission critical Java Application on Exalogic with 35X Faster Java response time, 5X Throughput Underwriters Laboratories Exalogic as an Apps Consolidation platform to power tremendous growth Ingersoll Rand EBS on Exalogic: Up to 40% Reduction in overall IT budget, 3x reduced foot print Oracle Cloud Application Foundation Customer Results using Fusion Middleware  Mazda Motor Corporation Tuxedo ART Batch runtime environment to migrate their batch apps on new open environment and reduce main frame cost. HOTELBEDS Technology Open Source to WebLogic transformation Globalia Corporation Introduced Oracle Coherence to fully reengineer DTH system and provide multiple business and technical benefits Nike Nike+, digital sports platform, has 8M users and is expecting an 5X increase in users, many of who will carry multiple devices that frequently sync data with the Digital Sport platform Comcast Corporation The solution is expected to increase availability, continuity, performance, and simplify and make the code at the application layer more flexible. Oracle SOA and Oracle BPM Customer Results using Fusion Middleware NTT Docomo Network traffic solution based on Oracle event processing and coherence - massive in scale: 12M users (50M in future) - 800,000 events/sec. Schneider National, Inc. SOA/B2B/ADF/Data Integration to orchestrate key order processes across Siebel, OTM & EBS.  Platform runs 60M trans/day and  50 million composite SOA instances per day across 10G and 11G Amadeus Oracle BPM solution: Business Rules and processes vary across local (80), regional (~10) and corporate approval process. Up to 10 levels of approval. Plans to deploy across 20+ markets Navitar SOA solution integrates a fully non-Oracle legacy application/ERP environment using Oracle’s SOA Suite and Oracle AIA Foundation Pack. Motability Uses SOA Suite to synchronize data across the systems and to manage the vehicle remarketing process Oracle WebCenter Customer Results using Fusion Middleware  News Limited Single platform running websites for 50% of Australia's newspapers University of Louisville “Facebook for Medicine”: Oracle Webcenter platform and Oracle BIEE to analyze patient test data and uncover potential health issues. Expecting annualized ROI of 277% China Mobile Jiangsu Company portal (25k users) to drive collaboration & productivity Life Technologies Portal for remotely monitoring & repairing biotech instruments LA Dept. of Water & Power Oracle WebCenter Portal to power ladwp.com on desktop and mobile for 1.6million users Oracle Identity Management Customer Results using Fusion Middleware Education Testing Service Identity Management platform for provisioning & SSO of 6 million GRE, GMAT, TOEFL customers Avea Oracle Identity Manager allowing call center personnel to quickly change Identity Profile to handle varying call loads based on a user self service interface. Decreased Admin Cost by 30% Oracle Data Integration Customer Results using Fusion Middleware Raymond James Near real-time integration for improved systems (throughput & performance) and enhanced operational flexibility in a 24 X 7 environment Wm Morrison Supermarkets Electronic Point of Sale integration handling over 80 million transactions a day in near real time (15 min intervals) Oracle Application Development Framework and Oracle Fusion Development Customer Results using Fusion Middleware Qualcomm Incorporated Solution providing  immediate business value enabling a self-service model necessary for growing the new customer base, an increase in customer satisfaction, reduced “time-to-deliver” Micros Systems, Inc. ADF, SOA Suite, WebCenter  enables services that include managing distribution of hotel rooms availability and rates to channels such as Hotel Web-site, Expedia, etc. Marfin Egnatia Bank A new web 2.0 UI provides a much richer experience through the ADF solution with the end result being one of boosting end-user productivity    Business Analytics (Oracle BI, Oracle EPM, Oracle Exalytics) Customer Results using Fusion Middleware INC Research Self-service customer portal delivering 5–10% of the overall revenue - expected to grow fast with the BI solution Experian Reduction in Time to Complete the Financial Close Process Hologic Inc Solution, saving months of decision-making uncertainty! We look forward to seeing many more innovative nominations. The nominatation process for 2013 begins in April 2013.    Additional Information: Blog: Oracle WebCenter Award Winners Blog: Oracle Identity Management Winners Blog: Oracle Exalogic Winners Blog: SOA, BPM and Data Integration will be will feature award winners in its respective areas this week Subscribe to our regular Fusion Middleware Newsletter Follow us on Twitter and Facebook

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  • Liskov Substitution Principle and the Oft Forgot Third Wheel

    - by Stacy Vicknair
    Liskov Substitution Principle (LSP) is a principle of object oriented programming that many might be familiar with from the SOLID principles mnemonic from Uncle Bob Martin. The principle highlights the relationship between a type and its subtypes, and, according to Wikipedia, is defined by Barbara Liskov and Jeanette Wing as the following principle:   Let be a property provable about objects of type . Then should be provable for objects of type where is a subtype of .   Rectangles gonna rectangulate The iconic example of this principle is illustrated with the relationship between a rectangle and a square. Let’s say we have a class named Rectangle that had a property to set width and a property to set its height. 1: Public Class Rectangle 2: Overridable Property Width As Integer 3: Overridable Property Height As Integer 4: End Class   We all at some point here that inheritance mocks an “IS A” relationship, and by gosh we all know square IS A rectangle. So let’s make a square class that inherits from rectangle. However, squares do maintain the same length on every side, so let’s override and add that behavior. 1: Public Class Square 2: Inherits Rectangle 3:  4: Private _sideLength As Integer 5:  6: Public Overrides Property Width As Integer 7: Get 8: Return _sideLength 9: End Get 10: Set(value As Integer) 11: _sideLength = value 12: End Set 13: End Property 14:  15: Public Overrides Property Height As Integer 16: Get 17: Return _sideLength 18: End Get 19: Set(value As Integer) 20: _sideLength = value 21: End Set 22: End Property 23: End Class   Now, say we had the following test: 1: Public Sub SetHeight_DoesNotAffectWidth(rectangle As Rectangle) 2: 'arrange 3: Dim expectedWidth = 4 4: rectangle.Width = 4 5:  6: 'act 7: rectangle.Height = 7 8:  9: 'assert 10: Assert.AreEqual(expectedWidth, rectangle.Width) 11: End Sub   If we pass in a rectangle, this test passes just fine. What if we pass in a square?   This is where we see the violation of Liskov’s Principle! A square might "IS A” to a rectangle, but we have differing expectations on how a rectangle should function than how a square should! Great expectations Here’s where we pat ourselves on the back and take a victory lap around the office and tell everyone about how we understand LSP like a boss. And all is good… until we start trying to apply it to our work. If I can’t even change functionality on a simple setter without breaking the expectations on a parent class, what can I do with subtyping? Did Liskov just tell me to never touch subtyping again? The short answer: NO, SHE DIDN’T. When I first learned LSP, and from those I’ve talked with as well, I overlooked a very important but not appropriately stressed quality of the principle: our expectations. Our inclination is to want a logical catch-all, where we can easily apply this principle and wipe our hands, drop the mic and exit stage left. That’s not the case because in every different programming scenario, our expectations of the parent class or type will be different. We have to set reasonable expectations on the behaviors that we expect out of the parent, then make sure that those expectations are met by the child. Any expectations not explicitly expected of the parent aren’t expected of the child either, and don’t register as a violation of LSP that prevents implementation. You can see the flexibility mentioned in the Wikipedia article itself: A typical example that violates LSP is a Square class that derives from a Rectangle class, assuming getter and setter methods exist for both width and height. The Square class always assumes that the width is equal with the height. If a Square object is used in a context where a Rectangle is expected, unexpected behavior may occur because the dimensions of a Square cannot (or rather should not) be modified independently. This problem cannot be easily fixed: if we can modify the setter methods in the Square class so that they preserve the Square invariant (i.e., keep the dimensions equal), then these methods will weaken (violate) the postconditions for the Rectangle setters, which state that dimensions can be modified independently. Violations of LSP, like this one, may or may not be a problem in practice, depending on the postconditions or invariants that are actually expected by the code that uses classes violating LSP. Mutability is a key issue here. If Square and Rectangle had only getter methods (i.e., they were immutable objects), then no violation of LSP could occur. What this means is that the above situation with a rectangle and a square can be acceptable if we do not have the expectation for width to leave height unaffected, or vice-versa, in our application. Conclusion – the oft forgot third wheel Liskov Substitution Principle is meant to act as a guidance and warn us against unexpected behaviors. Objects can be stateful and as a result we can end up with unexpected situations if we don’t code carefully. Specifically when subclassing, make sure that the subclass meets the expectations held to its parent. Don’t let LSP think you cannot deviate from the behaviors of the parent, but understand that LSP is meant to highlight the importance of not only the parent and the child class, but also of the expectations WE set for the parent class and the necessity of meeting those expectations in order to help prevent sticky situations.   Code examples, in both VB and C# Technorati Tags: LSV,Liskov Substitution Principle,Uncle Bob,Robert Martin,Barbara Liskov,Liskov

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  • User Experience Fundamentals

    - by ultan o'broin
    Understanding what user experience means in the modern work environment is central to building great-looking usable applications on the desktop or mobile devices. What better place to start a series of blog posts on such Applications User Experience team enablement for customers and partners than by sharing what the term really means, writes team member Karen Scipi. Applications UX have gained valuable insights into developing a user experience that reflects the experience of today’s worker. We have observed real workers performing real tasks in real work environments, and we have developed a set of new standards of application design that have been scientifically proven to be beneficial to enable today’s workers. We share such expertise to enable our customers and partners to benefit from our insights and to further their return on investment when building Oracle applications. So, What is User Experience? ?The user interface (UI) is about the on-screen user context provided by the layout of widgets (such as icons, fields, and buttons and more) and the visual impact of colors, typographic choices, and so on. The UI comprises the “look and feel” of the application that users interact with, and reflects, in essence, the most immediate aspects of usability we can now all relate to.  User experience, on the other hand, is about understanding the whole context of the world of work, how workers go about completing tasks, crossing all sorts of boundaries along the way. It is a study of how business processes and workers goals coincide, how users work with technology or other tools to get their jobs done, their interactions with other users, and their response to the technical, physical, and cultural environment around them. User experience is all about how users work—their work environments, office layouts, desk tools, types of devices, their working day, and more. Even their job aids, such as sticky notes, offer insight for UX innovation. User experience matters because businesses needs to be efficient, work must be productive, and users now demand to be satisfied by the applications they work with. In simple terms, tasks finished quickly and accurately for a business evokes organization and worker satisfaction, which in turn makes workers feel good and more than willing to use the application again tomorrow. Design Principles for the Enterprise Worker The consumerization of information technology has raised the bar for enterprise applications. Applications must be consistent, simple, intuitive, but above all contextual, reflecting how and when workers work, in the office or on the go. For example, the Google search experience with its type-ahead keyword-prompting feature is how workers expect to be able to discover enterprise information, too. Type-ahead in PeopleSoft 9.1 To build software that enables workers to be productive, our design principles meet modern work requirements about consistency, with well-organized, context-driven information, geared for a working world of discovery and collaboration. Our applications must also behave in a simple, web-like way just like Amazon, Google, and Apple products that workers use at home or on the go. Our user experience must also reflect workers’ needs for flexibility and well-loved enterprise practices such as using popular desktop tools like Microsoft Excel or Outlook as required. Building User Experience Productively The building blocks of Oracle Fusion Applications are the user experience design patterns. Based on the Oracle Fusion Middleware technology used to build Oracle Fusion Applications, the patterns are reusable solutions to common usability challenges that ADF developers typically face as they build applications, extensions, and integrations. Developers use the patterns as part of their Oracle toolkits to realize great usability consistently and in a productive way. Our design pattern creation process is informed by user experience research and science, an understanding of our technology’s capabilities, the demands for simplification and intuitiveness from users, and the best of Oracle’s acquisitions strategy (an injection of smart people and smart innovation). The patterns are supported by usage guidelines and are tested in our labs and assembled into a library of proven resources we used to build own Oracle Fusion Applications and other Oracle applications user experiences. The design patterns library is now available to the ADF community and to our partners and customers, for free. Developers with ADF skills and other technology skills can now offer more than just coding and functionality and still use the best in enterprise methodologies to ensure that a great user experience is easily applied, scaled, and maintained, whether it be for SaaS or on-premise deployments for Oracle Fusion Applications, for applications coexistence, or for partner integrations scenarios.  Oracle partners and customers already using our design patterns to build solutions and win business in smart and productive ways are now sharing their experiences and insights on pattern use to benefit your entire business. Applications UX is going global with the message and the means. Our hands-on user experience enablement through ADF  is expanding. So, stay tuned to Misha Vaughan's Voice of User Experience (VOX) blog and follow along on Twitter at @usableapps for news of outreach events and other learning opportunities. Interested in Learning More? Oracle Fusion Applications User Experience Patterns and Guidelines Library Shout-outs for Oracle UX Design Patterns Oracle Fusion Applications User Experience Design Patterns: Productivity Realized

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  • Code Structure / Level Design: Plants vs Zombies game level dissection

    - by lalan
    Hi Friends, I am interested in learning the class structure of Plants vs Zombies, particularly level design; for those who haven't played it - this video contains nice play-through: http://www.youtube.com/watch?v=89DfdOIJ4xw. How would I go ahead and design the code, mostly structure & classes, which allows for maximum flexibility & clean development? I am familiar with data driven design concepts, and would use events to handle most of dynamic behavior. Dissection at macro level: (Once every Level) Load tilemap, props, etc -- basically build the map (Once every Level) Camera Movement - might consider it as short cut-scene (Once every Level) Show Enemies you'll face during present level (Once every Level) Unit Selection Window/Panel - selection of defensive plants (Once every Level) Camera Movement - might consider it as short cut-scene (Once every Level) HUD Creation - based on unit selection (Level Loop) Enemy creation - based on types of zombies allowed (Level Loop) Sun/Resource generation (Level Loop) Show messages like 'huge wave of zombies coming', 'final wave' (Level Loop) Other unique events - Spawn gifts, money, tombstones, etc (Once every Level) Unlock new plant Potential game scripts: a) Level definitions: Level_1_1.xml, Level_1_2.xml, etc. Level_1_1.xml :: Sample script <map> <tilemap>tilemapFrontLawn</tilemap> <SpawnPoints> tiles where particular type of zombies (land vs water) may spawn</spawnPoints> <props> position, entity array -- lawnmower, </props> </map> <zombies> <... list of zombies who gonna attack by ids...> </zombies> <plants> <... list by plants which are available for defense by ids...> </plants> <progression> <ZombieWave name='first wave' spawnScript='zombieLightWave.lua' unlock='null'> <startMessages time=1.5>Ready</startMessages> <endMessages time=1.5>Huge wave of zombies incoming</endMessages> </ZombieWave> </progression> b) Entities definitions: .xmls containing zombies, plants, sun, lawnmower, coins, etc description. Potential classes: //LevelManager - Based on the level under play, it will load level script. Few of the // functions it may have: class LevelManager { public: bool load(string levelFileName); bool enter(); bool update(float deltatime); bool exit(); private: LevelData* mLevelData; } // LevelData - Contains the details of level loaded by LevelManager. class LevelData { private: string file; // array of camera,dialog,attackwaves, etc in active level LevelCutSceneCamera** mArrayCutSceneCamera; LevelCutSceneDialog** mArrayCutSceneDialog; LevelAttackWave** mArrayAttackWave; .... // which camera,dialog,attackwave is active in level uint mCursorCutSceneCamera; uint mCursorCutSceneDialog; uint mCursorAttackWave; public: // based on cursor, get the next camera,dialog,attackwave,etc in active level // return false/true based on failure/success bool nextCutSceneCamera(LevelCutSceneCamera**); bool nextCutSceneDialog(LevelCutSceneDialog**); } // LevelUnderPlay- LevelManager class LevelUnderPlay { private: LevelCutSceneCamera* mCutSceneCamera; LevelCutSceneDialog* mCutSceneDialog; LevelAttackWave* mAttackWave; Entities** mSelectedPlants; Entities** mAllowedZombies; bool isCutSceneCameraActive; public: bool enter(); bool update(float deltatime); bool exit(); } I am totally confused.. :( Does it make sense of using class composition (have flat class hierarchy) for managing levels. Is it a good idea to just add/remove/update sprites (or any drawable stuff) to current scene from LevelManager or LevelUnderPlay? If I want to make non-linear level design, how should I go ahead? Perhaps I would need a LevelProgression class, which would decide what to do based on decision tree. Any suggestions would be appreciated very much. Thank for your time, lalan

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  • ACORD LOMA Session Highlights Policy Administration Trends

    - by [email protected]
    Helen Pitts, senior product marketing manager for Oracle Insurance, attended and is blogging from the ACORD LOMA Insurance Forum this week. Above: Paul Vancheri, Chief Information Officer, Fidelity Investments Life Insurance Company. Vancheri gave a presentation during the ACORD LOMA Insurance Systems Forum about the key elements of modern policy administration systems and how insurers can mitigate risk during legacy system migrations to safely introduce new technologies. When I had a few particularly challenging honors courses in college my father, a long-time technology industry veteran, used to say, "If you don't know how to do something go ask the experts. Find someone who has been there and done that, don't be afraid to ask the tough questions, and apply and build upon what you learn." (Actually he still offers this same advice today.) That's probably why my favorite sessions at industry events, like the ACORD LOMA Insurance Forum this week, are those that include insight on industry trends and case studies from carriers who share their experiences and offer best practices based upon their own lessons learned. I had the opportunity to attend a particularly insightful session Wednesday as Craig Weber, senior vice president of Celent's Insurance practice, and Paul Vancheri, CIO of Fidelity Life Investments, presented, "Managing the Dynamic Insurance Landscape: Enabling Growth and Profitability with a Modern Policy Administration System." Policy Administration Trends Growing the business is the top issue when it comes to IT among both life and annuity and property and casualty carriers according to Weber. To drive growth and capture market share from competitors, carriers are looking to modernize their core insurance systems, with 65 percent of those CIOs participating in recent Celent research citing plans to replace their policy administration systems. Weber noted that there has been continued focus and investment, particularly in the last three years, by software and technology vendors to offer modern, rules-based, configurable policy administration solutions. He added that these solutions are continuing to evolve with the ongoing aim of helping carriers rapidly meet shifting business needs--whether it is to launch new products to market faster than the competition, adapt existing products to meet shifting consumer and /or regulatory demands, or to exit unprofitable markets. He closed by noting the top four trends for policy administration either in the process of being adopted today or on the not-so-distant horizon for the future: Underwriting and service desktops New business automation Convergence of ultra-configurable and domain content-rich systems Better usability and screen design Mitigating the Risk When Making the Decision to Modernize Third-party analyst research from advisory firms like Celent was a key part of the due diligence process for Fidelity as it sought a replacement for its legacy policy administration system back in 2005, according to Vancheri. The company's business opportunities were outrunning system capability. Its legacy system had not been upgraded in several years and was deficient from a functionality and currency standpoint. This was constraining the carrier's ability to rapidly configure and bring new and complex products to market. The company sought a new, modern policy administration system, one that would enable it to keep pace with rapid and often unexpected industry changes and ahead of the competition. A cross-functional team that included representatives from finance, actuarial, operations, client services and IT conducted an extensive selection process. This process included deep documentation review, pilot evaluations, demonstrations of required functionality and complex problem-solving, infrastructure integration capability, and the ability to meet the company's desired cost model. The company ultimately selected an adaptive policy administration system that met its requirements to: Deliver ease of use - eliminating paper and rework, while easing the burden on representatives to sell and service annuities Provide customer parity - offering Web-based capabilities in alignment with the company's focus on delivering a consistent customer experience across its business Deliver scalability, efficiency - enabling automation, while simplifying and standardizing systems across its technology stack Offer desired functionality - supporting Fidelity's product configuration / rules management philosophy, focus on customer service and technology upgrade requirements Meet cost requirements - including implementation, professional services and licenses fees and ongoing maintenance Deliver upon business requirements - enabling the ability to drive time to market for new products and flexibility to make changes Best Practices for Addressing Implementation Challenges Based upon lessons learned during the company's implementation, Vancheri advised carriers to evaluate staffing capabilities and cultural impacts, review business requirements to avoid rebuilding legacy processes, factor in dependent systems, and review policies and practices to secure customer data. His formula for success: upfront planning + clear requirements = precision execution. Achieving a Return on Investment Vancheri said the decision to replace their legacy policy administration system and deploy a modern, rules-based system--before the economic downturn occurred--has been integral in helping the company adapt to shifting market conditions, while enabling growth in its direct channel sales of variable annuities. Since deploying its new policy admin system, the company has reduced its average time to market for new products from 12-15 months to 4.5 months. The company has since migrated its other products to the new system and retired its legacy system, significantly decreasing its overall product development cycle. From a processing standpoint Vancheri noted the company has achieved gains in automation, information, and ease of use, resulting in improved real-time data edits, controls for better quality, and tax handling capability. Plus, with by having only one platform to manage, the company has simplified its IT environment and is well positioned to deliver system enhancements for greater efficiencies. Commitment to Continuing the Investment In the short and longer term future Vancheri said the company plans to enhance business functionality to support money movement, wire automation, divorce processing on payout contracts and cost-based tracking improvements. It also plans to continue system upgrades to remain current as well as focus on further reducing cycle time, driving down maintenance costs, and integrating with other products. Helen Pitts is senior product marketing manager for Oracle Insurance focused on life/annuities and enterprise document automation.

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  • MySQL Connect Only 10 Days Away - Focus on InnoDB Sessions

    - by Bertrand Matthelié
    Time flies and MySQL Connect is only 10 days away! You can check out the full program here as well as in the September edition of the MySQL newsletter. Mat recently blogged about the MySQL Cluster sessions you’ll have the opportunity to attend, and below are those focused on InnoDB. Remember you can plan your schedule with Schedule Builder. Saturday, 1.00 pm, Room Golden Gate 3: 10 Things You Should Know About InnoDB—Calvin Sun, Oracle InnoDB is the default storage engine for Oracle’s MySQL as of MySQL Release 5.5. It provides the standard ACID-compliant transactions, row-level locking, multiversion concurrency control, and referential integrity. InnoDB also implements several innovative technologies to improve its performance and reliability. This presentation gives a brief history of InnoDB; its main features; and some recent enhancements for better performance, scalability, and availability. Saturday, 5.30 pm, Room Golden Gate 4: Demystified MySQL/InnoDB Performance Tuning—Dimitri Kravtchuk, Oracle This session covers performance tuning with MySQL and the InnoDB storage engine for MySQL and explains the main improvements made in MySQL Release 5.5 and Release 5.6. Which setting for which workload? Which value will be better for my system? How can I avoid potential bottlenecks from the beginning? Do I need a purge thread? Is it true that InnoDB doesn't need thread concurrency anymore? These and many other questions are asked by DBAs and developers. Things are changing quickly and constantly, and there is no “silver bullet.” But understanding the configuration setting’s impact is already a huge step in performance improvement. Bring your ideas and problems to share them with others—the discussion is open, just moderated by a speaker. Sunday, 10.15 am, Room Golden Gate 4: Better Availability with InnoDB Online Operations—Calvin Sun, Oracle Many top Web properties rely on Oracle’s MySQL as a critical piece of infrastructure for serving millions of users. Database availability has become increasingly important. One way to enhance availability is to give users full access to the database during data definition language (DDL) operations. The online DDL operations in recent MySQL releases offer users the flexibility to perform schema changes while having full access to the database—that is, with minimal delay of operations on a table and without rebuilding the entire table. These enhancements provide better responsiveness and availability in busy production environments. This session covers these improvements in the InnoDB storage engine for MySQL for online DDL operations such as add index, drop foreign key, and rename column. Sunday, 11.45 am, Room Golden Gate 7: Developing High-Throughput Services with NoSQL APIs to InnoDB and MySQL Cluster—Andrew Morgan and John Duncan, Oracle Ever-increasing performance demands of Web-based services have generated significant interest in providing NoSQL access methods to MySQL (MySQL Cluster and the InnoDB storage engine of MySQL), enabling users to maintain all the advantages of their existing relational databases while providing blazing-fast performance for simple queries. Get the best of both worlds: persistence; consistency; rich SQL queries; high availability; scalability; and simple, flexible APIs and schemas for agile development. This session describes the memcached connectors and examines some use cases for how MySQL and memcached fit together in application architectures. It does the same for the newest MySQL Cluster native connector, an easy-to-use, fully asynchronous connector for Node.js. Sunday, 1.15 pm, Room Golden Gate 4: InnoDB Performance Tuning—Inaam Rana, Oracle The InnoDB storage engine has always been highly efficient and includes many unique architectural elements to ensure high performance and scalability. In MySQL 5.5 and MySQL 5.6, InnoDB includes many new features that take better advantage of recent advances in operating systems and hardware platforms than previous releases did. This session describes unique InnoDB architectural elements for performance, new features, and how to tune InnoDB to achieve better performance. Sunday, 4.15 pm, Room Golden Gate 3: InnoDB Compression for OLTP—Nizameddin Ordulu, Facebook and Inaam Rana, Oracle Data compression is an important capability of the InnoDB storage engine for Oracle’s MySQL. Compressed tables reduce the size of the database on disk, resulting in fewer reads and writes and better throughput by reducing the I/O workload. Facebook pushes the limit of InnoDB compression and has made several enhancements to InnoDB, making this technology ready for online transaction processing (OLTP). In this session, you will learn the fundamentals of InnoDB compression. You will also learn the enhancements the Facebook team has made to improve InnoDB compression, such as reducing compression failures, not logging compressed page images, and allowing changes of compression level. Not registered yet? You can still save US$ 300 over the on-site fee – Register Now!

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  • New Replication, Optimizer and High Availability features in MySQL 5.6.5!

    - by Rob Young
    As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release.  As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web.  That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters.  Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities.  With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools.  You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article.  New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization.  Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY.  Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases")  Please let us know what you think!  The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs.  Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME.  These operations are non-blocking and will continue to evolve in future DMRs.  You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale.  These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing:    2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever.  It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

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  • NoSQL Java API for MySQL Cluster: Questions & Answers

    - by Mat Keep
    The MySQL Cluster engineering team recently ran a live webinar, available now on-demand demonstrating the ClusterJ and ClusterJPA NoSQL APIs for MySQL Cluster, and how these can be used in building real-time, high scale Java-based services that require continuous availability. Attendees asked a number of great questions during the webinar, and I thought it would be useful to share those here, so others are also able to learn more about the Java NoSQL APIs. First, a little bit about why we developed these APIs and why they are interesting to Java developers. ClusterJ and Cluster JPA ClusterJ is a Java interface to MySQL Cluster that provides either a static or dynamic domain object model, similar to the data model used by JDO, JPA, and Hibernate. A simple API gives users extremely high performance for common operations: insert, delete, update, and query. ClusterJPA works with ClusterJ to extend functionality, including - Persistent classes - Relationships - Joins in queries - Lazy loading - Table and index creation from object model By eliminating data transformations via SQL, users get lower data access latency and higher throughput. In addition, Java developers have a more natural programming method to directly manage their data, with a complete, feature-rich solution for Object/Relational Mapping. As a result, the development of Java applications is simplified with faster development cycles resulting in accelerated time to market for new services. MySQL Cluster offers multiple NoSQL APIs alongside Java: - Memcached for a persistent, high performance, write-scalable Key/Value store, - HTTP/REST via an Apache module - C++ via the NDB API for the lowest absolute latency. Developers can use SQL as well as NoSQL APIs for access to the same data set via multiple query patterns – from simple Primary Key lookups or inserts to complex cross-shard JOINs using Adaptive Query Localization Marrying NoSQL and SQL access to an ACID-compliant database offers developers a number of benefits. MySQL Cluster’s distributed, shared-nothing architecture with auto-sharding and real time performance makes it a great fit for workloads requiring high volume OLTP. Users also get the added flexibility of being able to run real-time analytics across the same OLTP data set for real-time business insight. OK – hopefully you now have a better idea of why ClusterJ and JPA are available. Now, for the Q&A. Q & A Q. Why would I use Connector/J vs. ClusterJ? A. Partly it's a question of whether you prefer to work with SQL (Connector/J) or objects (ClusterJ). Performance of ClusterJ will be better as there is no need to pass through the MySQL Server. A ClusterJ operation can only act on a single table (e.g. no joins) - ClusterJPA extends that capability Q. Can I mix different APIs (ie ClusterJ, Connector/J) in our application for different query types? A. Yes. You can mix and match all of the API types, SQL, JDBC, ODBC, ClusterJ, Memcached, REST, C++. They all access the exact same data in the data nodes. Update through one API and new data is instantly visible to all of the others. Q. How many TCP connections would a SessionFactory instance create for a cluster of 8 data nodes? A. SessionFactory has a connection to the mgmd (management node) but otherwise is just a vehicle to create Sessions. Without using connection pooling, a SessionFactory will have one connection open with each data node. Using optional connection pooling allows multiple connections from the SessionFactory to increase throughput. Q. Can you give details of how Cluster J optimizes sharding to enhance performance of distributed query processing? A. Each data node in a cluster runs a Transaction Coordinator (TC), which begins and ends the transaction, but also serves as a resource to operate on the result rows. While an API node (such as a ClusterJ process) can send queries to any TC/data node, there are performance gains if the TC is where most of the result data is stored. ClusterJ computes the shard (partition) key to choose the data node where the row resides as the TC. Q. What happens if we perform two primary key lookups within the same transaction? Are they sent to the data node in one transaction? A. ClusterJ will send identical PK lookups to the same data node. Q. How is distributed query processing handled by MySQL Cluster ? A. If the data is split between data nodes then all of the information will be transparently combined and passed back to the application. The session will connect to a data node - typically by hashing the primary key - which then interacts with its neighboring nodes to collect the data needed to fulfil the query. Q. Can I use Foreign Keys with MySQL Cluster A. Support for Foreign Keys is included in the MySQL Cluster 7.3 Early Access release Summary The NoSQL Java APIs are packaged with MySQL Cluster, available for download here so feel free to take them for a spin today! Key Resources MySQL Cluster on-line demo  MySQL ClusterJ and JPA On-demand webinar  MySQL ClusterJ and JPA documentation MySQL ClusterJ and JPA whitepaper and tutorial

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  • User-Defined Customer Events & their impact (FA Type Profile)

    - by Rajesh Sharma
    CC&B automatically creates field activities when a specific Customer Event takes place. This depends on the way you have setup your Field Activity Type Profiles, the templates within, and associated SP Condition(s) on the template. CC&B uses the service point type, its state and referenced customer event to determine which field activity type to generate.   Customer events available in the base product include: Cut for Non-payment (CNP) Disconnect Warning (DIWA) Reconnect for Payment (REPY) Reread (RERD) Stop Service (STOP) Start Service (STRT) Start/Stop (STSP)   Note the Field values/codes defined for each event.   CC&B comes with a flexibility to define new set of customer events. These can be defined in the Look Up - CUST_EVT_FLG. Values from the Look Up are used on the Field Activity Type Profile Template page.     So what's the use of having user-defined Customer Events? And how will the system detect such events in order to create field activity(s)?   Well, system can only detect such events when you reference a user-defined customer event on a Severance Event Type for an event type Create Field Activities.     This way you can create additional field activities of a specific field activity type for user-defined customer events.   One of our customers adopted this feature and created a user-defined customer event CNPW - Cut for Non-payment for Water Services. This event was then linked on a Field Activity Type Profile and referenced on a Severance Event - CUT FOR NON PAY-W. The associated Severance Process was configured to trigger a reconnection process if it was cancelled (done by defining a Post Cancel Algorithm). Whenever this Severance Event was executed, a specific type of Field Activity was generated for disconnection purposes. The Field Activity type was determined by the system from the Field Activity Type Profile referenced for the SP Type, SP's state and the referenced user-defined customer event. All was working well until the time when they realized that in spite of the Severance Process getting cancelled (when a payment was made); the Post Cancel Algorithm was not executed to start a Reconnection Severance Process for the purpose of generating a reconnection field activity and reconnecting the service.   Basically, the Post Cancel algorithm (if specified on a Severance Process Template) is triggered when a Severance Process gets cancelled because a credit transaction has affected/relieved a Service Agreement's debt.   So what exactly was happening? Now we come to actual question as to what is the impact in having a user-defined customer event.   System defined/base customer events are hard-coded across the entire system. There is an impact even if you remove any customer event entry from the Look Up. User-defined customer events are not recognized by the system anywhere else except in the severance process, as described above.   There are few programs which have routines to first validate the completion of disconnection field activities, which were raised as a result of customer event CNP - Cut for Non-payment in order to perform other associated actions. One such program is the Post Cancel Algorithm, referenced on a Severance Process Template, generally used to reconnect services which were disconnected from other Severance Event, specifically CNP - Cut for Non-Payment. Post cancel algorithm provided by the product - SEV POST CAN does the following (below is the algorithm's description):   This algorithm is called after a severance process has been cancelled (typically because the debt was paid and the SA is no longer eligible to be on the severance process). It checks to see if the process has a completed 'disconnect' event and, if so, starts a reconnect process using the Reconnect Severance Process Template defined in the parameter.    Notice the underlined text. This algorithm implicitly checks for Field Activities having completed status, which were generated from Severance Events as a result of CNP - Cut for Non-payment customer event.   Now if we look back to the customer's issue, we can relate that the Post Cancel algorithm was triggered, but was not able to find any 'Completed' CNP - Cut for Non-payment related field activity. And hence was not able to start a reconnection severance process. This was because a field activity was generated and completed for a customer event CNPW - Cut for Non-payment of Water Services instead.   To conclude, if you introduce new customer events that extend or simulate base customer events, the ones that are included in the base product, ensure that there is no other impact either direct or indirect to other business functions that the application has to offer.  

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  • EPM and Business Analytics Talking-head Videos from Oracle OpenWorld 2013

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE Here is a selection of 2 to 3 minute video interviews at this year’s Oracle OpenWorld: 1. George Somogyi, Solutions Architect, New Edge Group, talks about the importance of having their integrated Oracle Hyperion Platform consisting of Oracle Hyperion Financial Management, Oracle Hyperion Financial Data Quality Management, Oracle E-Business Suite R12 and Oracle Business Intelligence Extended Edition plus their use of Oracle Managed Cloud Services. Speaker: George Somogyi @ http://youtu.be/kWn0dQxCUy8 2. Gregg Thompson, Director of Financial Systems for ADT, talks about using Oracle Data Relationship Management prior to implementing an Enterprise Performance Management solution. Gregg confirmed that there are big benefits to bringing the full Oracle Hyperion Financial Close suite online with Oracle DRM as the metadata source. Reduced maintenance time and use of external consultants translates into significant time and cost savings and faster implementation times. Speaker: Gregg Thompson @ http://youtu.be/XnFrR9Uk4xk 3. Jeff Spangler, Director Financial Planning and Analysis for Speedy Cash Holdings Corp, talked to us about the benefits achieved through implementing Oracle Hyperion Planning and financial reporting solutions. He also describes how the use of Data Relationship Management will keep the process running smoothly now and in the future. Speaker: Jeff Spangler @ http://youtu.be/kkkuMkgJ22U 4. Marc Seewald, Senior Director of Product Management for Oracle Hyperion Tax Provision at Oracle, talks about Oracle Hyperion Tax Provision, how it is an integral part of the financial close process and that it provides better internal controls and automation of this task. Marc talks about Oracle Partners and customers alike who are seeing great value. Speaker: Marc Seewald @ http://youtu.be/lM_nfvACGuA 5. Matt Bradley, SVP of Product Development for Enterprise Performance Management (EPM) Applications at Oracle, talked to us about different deployment options for Oracle EPM. Cloud services (SaaS), managed services, on-premise, off-premise all have their merits, and organizations need flexibility to easily move between them as their companies evolve. Speaker: Matt Bradley @ http://youtu.be/ATO7Z9dbE-o 6. Neil Sellers, Partner, Qubix International talks about their experience with previewing Oracle’s new Planning and Budgeting Cloud Service. He describes the benefits of the step-by-step task lists, the speed of getting the application up and running, and the huge benefits of not having to manage the software and hardware side of the planning process. Speaker: Neil Sellers @ http://youtu.be/xmosO28e4_I 7. Praveen Pasupuleti, Senior Business Intelligence Development Manager of Citrix Systems Inc., talks about their Oracle Hyperion Planning upgrade and the huge performance improvement now experienced in forecasting. He also talked about the benefits of Oracle Hyperion Workforce Planning achieved by Citrix. Speaker: Praveen Pasupuleti @ http://youtu.be/d1e_4hLqw8c 8. CheckPoint Consulting, talked to us about how Enterprise Performance Management should be viewed as an entire solution, rather than as a bunch of applications in silos, to provide significant benefits; and how Data Relationship Management can tie it all together effectively. Speaker: Ron Dimon @ http://youtu.be/sRwbdbbXvUE 9. Sonal Kulkarni, Enterprise Performance Management Leader, Cummins Inc., talks about their use of Oracle Hyperion Financial Close Management (Account Reconciliation Manager), Oracle Hyperion Financial Management and Oracle Hyperion Financial Data Quality Management and how this is providing efficiency, visibility and compliance benefits. Speaker: Sonal Kulkarni @ http://youtu.be/OEgup5dKyVc 10. Todd Renard, Manager Financial Planning and Business Analytics for B/E Aerospace Inc., talks about the huge benefits that B/E Aerospace is experiencing from Oracle Financial Close Suite. He was extremely excited about Oracle Hyperion Financial Data Quality Management and how this helps them integrate a new business in as little as three weeks. Speaker: Todd Renard @ http://youtu.be/nIfqK46uVI8 11. Peter Smolianski, Chief Technology Officer for the District of Columbia Courts, talked to us about how D.C. Courts is using Oracle Scorecard and Strategy Management to push their 5 year plan forward, to report results to their constituents, and take accountability for process changes to become more efficient. Speaker: Peter Smolianski @ http://www.youtube.com/watch?v=T-DtB5pl-uk 12. Rich Wilkie, Senior Director of Product Management for Financial Close Suite at Oracle, talked to us about Oracle Financial Management Analytics. He told us how the prebuilt dashboards on top of Oracle Hyperion Financial Close Suite make it easy for everyone to see the numbers and understand where they are in the close process, and if there is an issue, they can see where it is. Executives are excited to get this information on mobile devices too. Speaker: Rich Wilkie @ http://www.youtube.com/watch?v=4UHuHgx74Yg 13. Dinesh Balebail, Senior Director of Software Development for Oracle Hyperion Profitability and Cost Management, talked to us about the power and speed of Oracle Hyperion Profitability and Cost Management and how it is being used to do deep costing for Telecoms, Hospitals, Banks and other high transaction volume organizations effectively. Speaker: Dinesh Balebail @ http://youtu.be/ivx5AZCXAfs /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}

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