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  • The Inside View on InsideView

    - by steve.diamond
    Call me a mooch. One of my favorite things about the Sales 2.0 conference held in San Francisco a couple of weeks ago was the venue (Four Seasons Hotel) and the food. But higher on the list was the quality of companies and people who attended. Our peer and 2.0 impresario Ken Pulverman used his trusty new Kodak Zi8 to capture a medley of elevator pitches from vendors who exhibited at the conference. We had many "FOOCROD" in attendance (Friends of Oracle CRM On Demand). And we love our friends. But we particularly liked this pitch from Tom Gwynn of InsideView, showcasing the value proposition of SalesView combined with Oracle CRM On Demand.

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  • SQL SERVER – Data Pages in Buffer Pool – Data Stored in Memory Cache

    - by pinaldave
    This will drop all the clean buffers so we will be able to start again from there. Now, run the following script and check the execution plan of the query. Have you ever wondered what types of data are there in your cache? During SQL Server Trainings, I am usually asked if there is any way one can know how much data in a table is stored in the memory cache? The more detailed question I usually get is if there are multiple indexes on table (and used in a query), were the data of the single table stored multiple times in the memory cache or only for a single time? Here is a query you can run to figure out what kind of data is stored in the cache. USE AdventureWorks GO SELECT COUNT(*) AS cached_pages_count, name AS BaseTableName, IndexName, IndexTypeDesc FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT s_obj.name, s_obj.index_id, s_obj.allocation_unit_id, s_obj.OBJECT_ID, i.name IndexName, i.type_desc IndexTypeDesc FROM ( SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id ,allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3) UNION ALL SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id, allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.type = 2 ) AS s_obj LEFT JOIN sys.indexes i ON i.index_id = s_obj.index_id AND i.OBJECT_ID = s_obj.OBJECT_ID ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = DB_ID() GROUP BY name, index_id, IndexName, IndexTypeDesc ORDER BY cached_pages_count DESC; GO Now let us run the query above and observe the output of the same. We can see in the above query that there are four columns. Cached_Pages_Count lists the pages cached in the memory. BaseTableName lists the original base table from which data pages are cached. IndexName lists the name of the index from which pages are cached. IndexTypeDesc lists the type of index. Now, let us do one more experience here. Please note that you should not run this test on a production server as it can extremely reduce the performance of the database. DBCC DROPCLEANBUFFERS This will drop all the clean buffers and we will be able to start again from there. Now run following script and check the execution plan for the same. USE AdventureWorks GO SELECT UnitPrice, ModifiedDate FROM Sales.SalesOrderDetail WHERE SalesOrderDetailID BETWEEN 1 AND 100 GO The execution plans contain the usage of two different indexes. Now, let us run the script that checks the pages cached in SQL Server. It will give us the following output. It is clear from the Resultset that when more than one index is used, datapages related to both or all of the indexes are stored in Memory Cache separately. Let me know what you think of this article. I had a great pleasure while writing this article because I was able to write on this subject, which I like the most. In the next article, we will exactly see what data are cached and those that are not cached, using a few undocumented commands. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL DMV

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  • Guest Post: Christian Finn: Is Facebook About to Become a Victim of its Own Success?

    - by Michael Snow
    12.00 Print 0 false false false EN-US X-NONE X-NONE /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Cambria; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;}  Since we have a number of new members of the WebCenter Evangelist team - I thought it would be appropriate to close the week with the newest hire and leader of the global WebCenter Evangelists, Christian Finn, who has just joined the Red team after many years with the small technology company up in Redmond, WA. He gave an intro to himself in an earlier post this morning but his post below is a great example of how customer engagement takes on a life of its own in our global online connected and social digital ecosystem. Is Facebook About to Become a Victim of its Own Success? What if I told you that your brand could advertise so successfully, you wouldn’t have to pay for the ads? A recent campaign by Ford Motor Company for the Ford Focus featuring Doug the spokespuppet (I am not making this up) did just that—and it raises some interesting issues for marketers and social media alike in the brave new world of customer engagement that is the Social Web. Allow me to elaborate. An article in the Wall Street Journal last week—“Big Brands Like Facebook, But They Don’t Like to Pay” tells the story of Ford’s recently concluded online campaign for the 2012 Ford Focus. (Ford, by the way, under the leadership of people such as Scott Monty, has been a pioneer of effective social campaigns.) The centerpiece of the campaign was the aforementioned Doug, who appeared as a character on Facebook in videos and via chat. (If you are not familiar with Doug, you can see him in action here, and read the WSJ story here.) You may be thinking puppet ads are a sign of Internet Bubble 2.0 and want to stop now, but bear with me. The Journal reported that Ford spent about $95M on its overall Ford Focus campaign, with TV accounting for over $60M of that spend. The Internet buy for the campaign was just over $10M, which included ad buys to drive traffic to Facebook for people to meet and ‘Like’ Doug and some amount on Facebook ads, too, to promote Doug and by extension, the Ford Focus. So far, a fairly straightforward consumer marketing story in the Internet Era. Yet here’s the curious thing: once Doug reached 10,000 fans on Facebook, Ford stopped paying for Facebook ads. Doug had gone viral with people sharing his videos with one another; once critical mass was reached there was no need to buy more ads on Facebook. Doug went on to be Liked by over 43,000 people, and 61% of his fans said they would be more likely to consider buying a Focus. According to the article, Ford says Focus sales are up this year—and increasing sales is every marketer’s goal. And so in effect, Ford found its Facebook campaign so successful that it could stop paying for it, instead letting its target consumers communicate its messages for fun—and for free. Not only did they get a 3X increase in fans beyond their paid campaign, they had thousands of customers sharing their messages in video form for months. Since free advertising is the Holy Grail of marketing both old and new-- and it appears social networks have an advantage in generating that buzz—it seems reasonable to ask: what would happen to brands’ advertising strategies—and the media they use to engage customers, if this success were repeated at scale? It seems logical to conclude that, at least initially, more ad dollars would be spent with social networks like Facebook as brands attempt to replicate Ford’s success. Certainly Facebook ad revenues are on the rise—eMarketer expects Facebook’s ad revenues to quintuple by 2012 compared with 2009 levels, to nearly 2.9B. That’s bad news for TV and the already battered print media and good news for Facebook. But perhaps not so over the longer run. With TV buys, you have to keep paying to generate impressions. If Doug the spokespuppet is any guide, however, that may not be true for social media campaigns. After an initial outlay, if a social campaign takes off, the audience will generate more impressions on its own. Thus a social medium like Facebook could be the victim of its own success when it comes to ad revenue. It may be there is an inherent limiting factor in the ad spend they can capture, as exemplified by Ford’s experience with Dough and the Focus. And brands may spend much less overall on advertising, with as good or better results, than they ever have in the past. How will these trends evolve? Can brands create social campaigns that repeat Ford’s formula for the Focus with effective results? Can social networks find ways to capture more spend and overcome their potential tendency to make further spend unnecessary? And will consumers become tired and insulated from social campaigns, much as they have to traditional advertising channels? These are the questions CMOs and Facebook execs alike will be asking themselves in the brave new world of customer engagement. As always, your thoughts and comments are most welcome.

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  • ODI 11g – Insight to the SDK

    - by David Allan
    This post is a useful index into the ODI SDK that cross references the type names from the user interface with the SDK class and also the finder for how to get a handle on the object or objects. The volume of content in the SDK might seem a little ominous, there is a lot there, but there is a general pattern to the SDK that I will describe here. Also I will illustrate some basic CRUD operations so you can see how the SDK usage pattern works. The examples are written in groovy, you can simply run from the groovy console in ODI 11.1.1.6. Entry to the Platform   Object Finder SDK odiInstance odiInstance (groovy variable for console) OdiInstance Topology Objects Object Finder SDK Technology IOdiTechnologyFinder OdiTechnology Context IOdiContextFinder OdiContext Logical Schema IOdiLogicalSchemaFinder OdiLogicalSchema Data Server IOdiDataServerFinder OdiDataServer Physical Schema IOdiPhysicalSchemaFinder OdiPhysicalSchema Logical Schema to Physical Mapping IOdiContextualSchemaMappingFinder OdiContextualSchemaMapping Logical Agent IOdiLogicalAgentFinder OdiLogicalAgent Physical Agent IOdiPhysicalAgentFinder OdiPhysicalAgent Logical Agent to Physical Mapping IOdiContextualAgentMappingFinder OdiContextualAgentMapping Master Repository IOdiMasterRepositoryInfoFinder OdiMasterRepositoryInfo Work Repository IOdiWorkRepositoryInfoFinder OdiWorkRepositoryInfo Project Objects Object Finder SDK Project IOdiProjectFinder OdiProject Folder IOdiFolderFinder OdiFolder Interface IOdiInterfaceFinder OdiInterface Package IOdiPackageFinder OdiPackage Procedure IOdiUserProcedureFinder OdiUserProcedure User Function IOdiUserFunctionFinder OdiUserFunction Variable IOdiVariableFinder OdiVariable Sequence IOdiSequenceFinder OdiSequence KM IOdiKMFinder OdiKM Load Plans and Scenarios   Object Finder SDK Load Plan IOdiLoadPlanFinder OdiLoadPlan Load Plan and Scenario Folder IOdiScenarioFolderFinder OdiScenarioFolder Model Objects Object Finder SDK Model IOdiModelFinder OdiModel Sub Model IOdiSubModel OdiSubModel DataStore IOdiDataStoreFinder OdiDataStore Column IOdiColumnFinder OdiColumn Key IOdiKeyFinder OdiKey Condition IOdiConditionFinder OdiCondition Operator Objects   Object Finder SDK Session Folder IOdiSessionFolderFinder OdiSessionFolder Session IOdiSessionFinder OdiSession Schedule OdiSchedule How to Create an Object? Here is a simple example to create a project, it uses IOdiEntityManager.persist to persist the object. import oracle.odi.domain.project.OdiProject; import oracle.odi.core.persistence.transaction.support.DefaultTransactionDefinition; txnDef = new DefaultTransactionDefinition(); tm = odiInstance.getTransactionManager() txnStatus = tm.getTransaction(txnDef) project = new OdiProject("Project For Demo", "PROJECT_DEMO") odiInstance.getTransactionalEntityManager().persist(project) tm.commit(txnStatus) How to Update an Object? This update example uses the methods on the OdiProject object to change the project’s name that was created above, it is then persisted. import oracle.odi.domain.project.OdiProject; import oracle.odi.domain.project.finder.IOdiProjectFinder; import oracle.odi.core.persistence.transaction.support.DefaultTransactionDefinition; txnDef = new DefaultTransactionDefinition(); tm = odiInstance.getTransactionManager() txnStatus = tm.getTransaction(txnDef) prjFinder = (IOdiProjectFinder)odiInstance.getTransactionalEntityManager().getFinder(OdiProject.class); project = prjFinder.findByCode("PROJECT_DEMO"); project.setName("A Demo Project"); odiInstance.getTransactionalEntityManager().persist(project) tm.commit(txnStatus) How to Delete an Object? Here is a simple example to delete all of the sessions, it uses IOdiEntityManager.remove to delete the object. import oracle.odi.domain.runtime.session.finder.IOdiSessionFinder; import oracle.odi.domain.runtime.session.OdiSession; import oracle.odi.core.persistence.transaction.support.DefaultTransactionDefinition; txnDef = new DefaultTransactionDefinition(); tm = odiInstance.getTransactionManager() txnStatus = tm.getTransaction(txnDef) sessFinder = (IOdiSessionFinder)odiInstance.getTransactionalEntityManager().getFinder(OdiSession.class); sessc = sessFinder.findAll(); sessItr = sessc.iterator() while (sessItr.hasNext()) {   sess = (OdiSession) sessItr.next()   odiInstance.getTransactionalEntityManager().remove(sess) } tm.commit(txnStatus) This isn't an all encompassing summary of the SDK, but covers a lot of the content to give you a good handle on the objects and how they work. For details of how specific complex objects are created via the SDK, its best to look at postings such as the interface builder posting here. Have fun, happy coding!

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  • Scrum for a single programmer?

    - by Rob Perkins
    I'm billed as the "Windows Expert" in my very small company, which consists of myself, a mechanical engineer working in a sales and training role, and the company's president, working in a design, development, and support role. My role is equally as general, but primarily I design and implement whatever programming on our product needs to get done in order for our stuff to run on whichever versions of Windows are current. I just finished watching a high-level overview of the Scrum paradigm, given in a webcast. My question is: Is it worth my time to learn more about this approach to product development, given that my development work items are usually given at a very high level, such as "internationalize and localize the product". If it is, how would you suggest adapting Scrum for the use of just one programmer? What tools, cloud-based or otherwise, would be useful to that end? If it is not, what approach would you suggest for a single programmer to organize his efforts from day to day? (Perhaps the question reduces to that simple question.)

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  • So No TECH job so far.

    - by Ratman21
    O I found some temp work for the US Census and I have managed to keep the house (so far) but, it looks like I/we are going to have to do a short sale and the temp job will be ending soon.   On top of that it looks like the unemployment fund for me is drying up. I will have about one month left after the Census job is done. I am now down to Appling for work at the KFC.   This is type a work I started with, before I was a tech geek and really I didn’t think I would be doing this kind of work in my later years but, I have a wife and kid. So I got to suck it up and do it.   Oh and here is my new resume…go ahead I know you want to tare it up. I really don’t care any more.   Scott L. Newman 45219 Dutton Way, Callahan, FL32011 H: (904)879-4880 C: (352)356-0945 E: [email protected] Web:  http://beingscottnewman.webs.com/                                                       ______                                                                                 OBJECTIVE To obtain a Network or Technical support position     KEYWORD SUMMARY CompTIA A+, Network+, and Security+ Certified., Network Operation, Technical Support, Client/Vendor Relations, Networking/Administration, Cisco Routers/Switches, Helpdesk, Microsoft Office Suite, Website Design/Dev./Management, Frame Relay, ISDN, Windows NT/98/XP, Visio, Inventory Management, CICS, Programming, COBOL IV, Assembler, RPG   QUALIFICATIONS SUMMARY Twenty years’ experience in computer operations, technical support, and technical writing. Also have two and half years’ experience in internet / intranet operations.   PROFESSIONAL EXPERIENCE October 2009 – Present*   Volunteer Web site and PC technician – Part time       True Faith Christian Fellowship Church – Callahan, FL, Project: Create and maintain web site for Church to give it a worldwide exposure Aug 2008 – September 2009:* Volunteer Church sound and video technician – Part time      Thomas Creek Baptist Church – Callahan, FL   *Note Jobs were for the learning and/or keeping updated on skills, while looking for a tech job and training for new skills.   February 2005 to October 2008: Client Server Dev/Analyst I, Fidelity National Information Services, Jacksonville, FL (FNIS acquired Certegy in 2005 and out of 20 personal, was one of three kept on.) August 2003 to February 2005: Senior NetOps Operator, Certegy, St.Pete, Fl. (August 2003, Certegy terminated contract with EDS and out of 40 personal, was one of six kept on.) Projects: Creation and update of listing and placement for all raised floor equipment at St.Pete site. Listing was made up of, floor plan of the raised floor and equipment racks diagrams showing the placement of all devices using Visio. This was cross-referenced with an inventory excel document showing what dept was responsible for each device. Sole creator of Network operation and Server Operation procedures guide (NetOps Guide).  Expertise: Resolving circuit and/or router issues or assist circuit carrier in resolving issue from the company Network Operation Center (NOC). As well as resolving application problems or assist application support in resolution of it.     July 1999 to August 2003: Senior NetOps Operator,EDS (Certegy Account), St.Pete, FL Same expertise and on going projects as listed above for FNIS/Certegy. (Equifax outsourced the NetOps dept. to EDS in 1999)         January 1991 to July 1999: NetOps/Tandem Operator, Equifax, St.Pete & Tampa, FL Same as all of the above for FNIS/Certegy/EDS except for circuit and router issues   EDUCATION ? New Horizons Computer Learning Center, Jacksonville, Florida - CompTIA A+, Security+, and     Network+ Certified.                        Currently working on CCNA Certification 07/30/10 ? Mott Community College, Flint, Michigan – Associates Degree - Data Processing and General Education ? Currently studying Japanese

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  • Fusion CRM ISV program is gaining weight: Examples of certified add-on's

    - by Richard Lefebvre
    The Fusion CRM ISV program is gaining traction. Please find below few examples of the partners having certified their add-on's to seamlessly work on top of Oracle Fusion CRM. For more information, please contact [email protected] ·         Opportunity-to-Quote.  Big Machines now integrates seamlessly to Oracle Fusion CRM, enabling customers with complex products and services and multiple sales channels to streamline the entire opportunity-to-quote process, including product selection, configuration, pricing, quoting, and approval workflows.  Create a custom hyperlink in the Opportunity to invoke Big Machines CPQ application to create a quote and sync up with the Fusion CRM custom quote object using the CRUD operations. The quote can be updated using the custom button in the custom tab in the opportunity details. See: http://www.bigmachines.com/oracle.php  ·         SaaS Billing and Subscription Management.  Is your prospect/customer asking whether top billing partners support Fusion CRM?  Positioning an integrated CRM solution for billing usage and subscription based services?  Need to implement a billable solution on the Oracle Java Cloud Service?  Aria Systems and Zuora have recently engaged with Oracle to deepen their integrations to Fusion CRM and team with Oracle for joint opportunities.  ·         Google Apps, SharePoint, Email-CRM Integrations o   Do your prospects use Google Apps in their business operations?  A “Best of AppExchange” award winner recently completed their integration for Fusion CRM.  CirrusInsight plugs Fusion CRM web services directly into Gmail, allowing you to search existing opportunity or contact, provide account information, and create an interaction such as phone call, appointment, or email against a customer or contact in Fusion CRM directly from Gmail.  o   An EMEA / France based partner, Aryvart provides bi-directional synchronization of appointments and tasks between Google calendar and Oracle Fusion CRM. For customers, it means adopting Oracle Fusion CRM while continuing to use Google calendar for appointments. o   Looking to lower the barrier and expand in SharePoint accounts?  InFact Group (EMEA / France & Germany) provides Microsoft SharePoint Connector for Oracle Fusion CRM. With this solution, you can store documents attached to an opportunity, into Microsoft SharePoint repository. For customers, it means adopting Oracle Fusion CRM while continuing to collaborate across existing content management infrastructure. o   Need to connect to MacMail, GroupWise, or Outlook/Exchange?  Omni Technology is a partner whose Riva CRM Integration recently engaged for support Fusion CRM as a key platform. Migration Tools from competitive CRMs, to Oracle Fusion CRM.  Data Migration Tools from legacy CRMs, to Oracle Fusion CRM.  A partner with the tools and techniques to speed adoption, Conemis provides data integration tools to export data from legacy CRM, and import into Oracle Fusion CRM via WebServices APIs. For customers, it means reducing cost of data migration from legacy CRM system into Oracle Fusion CRM. 

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  • Panduit Delivers on the Digital Business Promise

    - by Kellsey Ruppel
    How a 60-Year-Old Company Transformed into a Modern Digital BusinessConnecting with audiences through a robust online experience across multiple channels and devices is a nonnegotiable requirement in today’s digital world. Companies need a digital platform that helps them create, manage, and integrate processes, content, analytics, and more.Panduit, a company founded nearly 60 years ago, needed to simplify and modernize its enterprise application and infrastructure to position itself for long-term growth. Learn how it transformed into a digital business using Oracle WebCenter and Oracle Business Process Management. Join this webcast for an in-depth look at how these Oracle technologies helped Panduit: Increase self-service activity on their portal by 75% Improve number and quality of sales leads through increased customer interactions and registration over the web and mobile Create multichannel self-service interactions and content-enabled business processes Register now for this webcast. Register Now Presented by:Andy KershawSenior Director, Oracle WebCenter, Oracle BPM and Oracle Social Network Product Management, OracleVidya IyerIT Delivery Manager, PanduitPatrick GarciaIT Solutions Architect, Panduit Copyright © 2014, Oracle Corporation and/or its affiliates.All rights reserved. Contact Us | Legal Notices and Terms of Use | Privacy Statement

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  • Introducing Microsoft SQL Server 2008 R2 - Business Intelligence Samples

    - by smisner
    On April 14, 2010, Microsoft Press (blog | twitter) released my latest book, co-authored with Ross Mistry (twitter), as a free ebook download - Introducing Microsoft SQL Server 2008 R2. As the title implies, this ebook is an introduction to the latest SQL Server release. Although you'll find a comprehensive review of the product's features in this book, you will not find the step-by-step details that are typical in my other books. For those readers who are interested in a more interactive learning experience, I have created two samples file for download: IntroSQLServer2008R2Samples project Sales Analysis workbook Here's a recap of the business intelligence chapters and the samples I used to generate the screen shots by chapter: Chapter 6: Scalable Data Warehousing covers a new edition of SQL Server, Parallel Data Warehouse. Understandably, Microsoft did not ship me the software and hardware to set up my own Parallel Data Warehouse environment for testing purposes and consequently you won't see any screenshots in this chapter. I received a lot of information and a lot of help from the product team during the development of this chapter to ensure its technical accuracy. Chapter 7: Master Data Services is a new component in SQL Server. After you install Master Data Services (MDS), which is a separate installation from SQL Server although it's found on the same media, you can install sample models to explore (which is what I did to create screenshots for the book). To do this, you deploying packages found at \Program Files\Microsoft SQL Server\Master Data Services\Samples\Packages. You will first need to use the Configuration Manager (in the Microsoft SQL Server 2008 R2\Master Data Services program group) to create a database and a Web application for MDS. Then when you launch the application, you'll see a Getting Started page which has a Deploy Sample Data link that you can use to deploy any of the sample packages. Chapter 8: Complex Event Processing is an introduction to another new component, StreamInsight. This topic was way too large to cover in-depth in a single chapter, so I focused on information such as architecture, development models, and an overview of the key sections of code you'll need to develop for your own applications. StreamInsight is an engine that operates on data in-flight and as such has no user interface that I could include in the book as screenshots. The November CTP version of SQL Server 2008 R2 included code samples as part of the installation, but these are not the official samples that will eventually be available in Codeplex. At the time of this writing, the samples are not yet published. Chapter 9: Reporting Services Enhancements provides an overview of all the changes to Reporting Services in SQL Server 2008 R2, and there are many! In previous posts, I shared more details than you'll find in the book about new functions (Lookup, MultiLookup, and LookupSet), properties for page numbering, and the new global variable RenderFormat. I will confess that I didn't use actual data in the book for my discussion on the Lookup functions, but I did create real reports for the blog posts and will upload those separately. For the other screenshots and examples in the book, I have created the IntroSQLServer2008R2Samples project for you to download. To preview these reports in Business Intelligence Development Studio, you must have the AdventureWorksDW2008R2 database installed, and you must download and install SQL Server 2008 R2. For the map report, you must execute the PopulationData.sql script that I included in the samples file to add a table to the AdventureWorksDW2008R2 database. The IntroSQLServer2008R2Samples project includes the following files: 01_AggregateOfAggregates.rdl to illustrate the use of embedded aggregate functions 02_RenderFormatAndPaging.rdl to illustrate the use of page break properties (Disabled, ResetPageNumber), the PageName property, and the RenderFormat global variable 03_DataSynchronization.rdl to illustrate the use of the DomainScope property 04_TextboxOrientation.rdl to illustrate the use of the WritingMode property 05_DataBar.rdl 06_Sparklines.rdl 07_Indicators.rdl 08_Map.rdl to illustrate a simple analytical map that uses color to show population counts by state PopulationData.sql to provide the data necessary for the map report Chapter 10: Self-Service Analysis with PowerPivot introduces two new components to the Microsoft BI stack, PowerPivot for Excel and PowerPivot for SharePoint, which you can learn more about at the PowerPivot site. To produce the screenshots for this chapter, I created the Sales Analysis workbook which you can download (although you must have Excel 2010 and the PowerPivot for Excel add-in installed to explore it fully). It's a rather simple workbook because space in the book did not permit a complete exploration of all the wonderful things you can do with PowerPivot. I used a tutorial that was available with the CTP version as a basis for the report so it might look familiar if you've already started learning about PowerPivot. In future posts, I'll continue exploring the new features in greater detail. If there's any special requests, please let me know! Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • OWB 11gR2 - Find and Search Metadata in Designer

    - by David Allan
    Here are some tools and techniques for finding objects, specifically in the design repository. There are ways of navigating and collating objects that are useful for day to day development and build-time usage - this includes features out of the box and utilities constructed on top. There are a variety of techniques to navigate and find objects in the repository, the first 3 are out of the box, the 4th is an expert utility. Navigating by the tree, grouping by project and module - ok if you are aware of the exact module/folder that objects reside in. The structure panel is a useful way of finding parts of an object, especially when large rather than using the canvas. In large scale projects it helps to have accelerators (either find or collections below). Advanced find to search by name - 11gR2 included a find capability specifically for large scale projects. There were improvements in both the tree search and the object editors (including highlighting in mapping for example). So you can now do regular expression based search and quickly navigate to objects within a repository. Collections - logically organize your objects into virtual folders by shortcutting the actual objects. This is useful for a range of things since all the OWB services operate on collections too (export/import, validation, deployment). See the post here for new collection functionality in 11gR2. Reports for searching by type, updated on, updated by etc. Useful for activities such as periodic incremental actions (deploy all mappings changed in the past week). The report style view is useful since I can quickly see who changed what and when. You can see all the audit details for objects within each objects property inspector, but its useful to just get all objects changed today or example, all objects changed since my last build etc. This utility combines both UI extensions via experts and the public views on the repository. In the figure to the right you see the contextual option 'Object Search' which invokes the utility, you can see I have quite a number of modules within my project. Figure out all the potential objects which have been changed is not simple. The utility is an expert which provides this kind of search capability. The utility provides a report of the objects in the design repository which satisfy some filter criteria. The type of criteria includes; objects updated in the last n days optionally filter the objects updated by user filter the user by project and by type (table/mappings etc.) The search dialog appears with these options, you can multi-select the object types, so for example you can select TABLE and MAPPING. Its also possible to search across projects if need be. If you have multiple users using the repository you can define the OWB user name in the 'Updated by' property to restrict the report to just that user also. Finally there is a search name that will be used for some of the options such as building a collection - this name is used for the collection to be built. In the example I have done, I've just searched my project for all process flows and mappings that users have updated in the last 7 days. The results of the query are returned in a table containing the object names, types, full path and audit details. The columns are sort-able, you can sort the results by name, type, path etc. One of the cool things here, is that you can then perform operations on these objects - such as edit them, export single selection or entire results to MDL, create a collection from the results (now you have a saved set of references in the repository, you could do deploy/export etc.), create a deployment script from the results...or even add in your own ideas! You see from this that you can do bulk operations on sets of objects based on search results. So for example selecting the 'Build Collection' option creates a collection with all of the objects from my search, you can subsequently deploy/generate/maintain this collection of objects. Under the hood of the expert if just basic OMB commands from the product and the use of the public views on the design repository. You can see how easy it is to build up macro-like capabilities that will help you do day-to-day as well as build like tasks on sets of objects.

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  • The Complementary Roles of PLM and PIM

    - by Ulf Köster
    Oracle Product Value Chain Solutions (aka Enterprise PLM Solutions) are a comprehensive set of product management solutions that work together to provide Oracle customers with a broad array of capabilities to manage all aspects of product life: innovation, design, launch, and supply chain / commercialization processes beyond the capabilities and boundaries of traditional engineering-focused Product Lifecycle Management applications. They support companies with an integrated managed view across the product value chain: From Lab to Launch, From Farm to Fork, From Concept to Product to Customer, From Product Innovation to Product Design and Product Commercialization. Product Lifecycle Management (PLM) represents a broad suite of software solutions to improve product-oriented business processes and data. PLM success stories prove that PLM helps companies improve time to market, increase product-related revenue, reduce product costs, reduce internal costs and improve product quality. As a maturing suite of enterprise solutions, PLM is still evolving to realize the promise it can provide across all facets of a business and all phases of the product lifecycle. The vision for PLM includes everything from gathering early requirements for a product through multiple stages of the product lifecycle from product design, through commercialization and eventual product retirement or replacement. In discrete or process industries, PLM is typically more focused on Product Definition as items with respect to the technical view of a material or part, including specifications, bills of material and manufacturing data. With Agile PLM, this is specifically related to capabilities addressing Product Collaboration, Governance and Compliance, Product Quality Management, Product Cost Management and Engineering Collaboration. PLM today is mainly addressing key requirements in the early product lifecycle, in engineering changes or in the “innovation cycle”, and primarily adds value related to product design, development, launch and engineering change process. In short, PLM is the master for Product Definition, wherever manufacturing takes place. Product Information Management (PIM) is a product suite that has evolved in parallel to PLM. Product Information Management (PIM) can extend the value of PLM implementations by providing complementary tools and capabilities. More relevant in the area of Product Commercialization, the vision for PIM is to manage product information throughout an enterprise and supply chain to improve product-related knowledge management, information sharing and synchronization from multiple data sources. PIM success stories have shown the ability to provide multiple benefits, with particular emphasis on reducing information complexity and information management costs. Product Information in PIM is typically treated as the commercial view of a material or part, including sales and marketing information and categorization. PIM collects information from multiple manufacturing sites and multiple suppliers into its repository, but also provides integration tools to push the information back out to the other systems, serving as an active central repository with the aim to provide a holistic view on any product sold by a company (hence the name “Product Hub”). In short, PIM is the master of commercial Product Information. So PIM is quickly becoming mandatory because of its value in optimizing multichannel selling processes and relationships with customers, as you can see from the following table: Viewpoint PLM Current State PIM Key Benefits PIM adds to PLM Product Lifecycle Primarily R&D Front end Innovation Cycle Change process Primarily commercial / transactional state of lifecycle Provides a seamless information flow from design and manufacturing through the ultimate selling and servicing of products Data Primarily focused on “item” vs. “product” data Product structures Specifications Technical information Repository for all product information. Reaches out to entire enterprise and its various silos of product information and descriptions Provides a “trusted source” of accurate product information to the internal organization and trading partners Data Lifecycle Repository for all design iterations Historical information Released, current information, with version management and time stamping Provides a single location to track and audit historical product information Communication PLM release finished product to ERP PLM is the master for Product Definition Captures information from disparate sources, including in-house data stores Recognizes the reality of today’s data “mess” across information silos Provides the ability to package product information to its audience in the desired, relevant format to meet their exacting business requirements Departmental R&D Manufacturing Quality Compliance Procurement Strategic Marketing Focus on Marketing and Sales Gathering information from other Departments, multiple sites, multiple suppliers A singular enterprise solution that leverages existing information silos and data stores Supply Chain Multi-site internal collaboration Supplier collaboration Customer collaboration Works with customers, exchanges / data pools, and trading partners to provide relevant product information packaged the way the customer desires Provides ability to provide trading partners and internal customers with information in a manner they desire, continuously Tools Data Management Collaboration Innovation Management Cleansing Synchronization Hub functions Consistent, clean and complete commercial product information The goals of both PLM and PIM, put simply, are to help companies make more profit from their products. PLM and PIM solutions can be easily added as they share some of the same goals, while coming from two different perspectives: the definition of the product and the commercialization of the product. Both can serve as a form of product “system of record”, but take different approaches to delivering value. Oracle Product Value Chain solutions offer rich new strategies for executives to collectively leverage Agile PLM, Product Data Hub, together with Enterprise Data Quality for Products, and other industry leading Oracle applications to achieve further incremental value, like Oracle Innovation Management. This is unique on the market today.

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  • The countdown for ‘In Touch’ has begun!

    - by Julien Haye
    The Oracle 'In Touch' PartnerCast is just a week away from going live, so if you haven’t registered yet, what are you waiting for?! Registration is quick and easy, so click here to register and ensure you stay informed with the latest from the Oracle PartnerNetwork.  'In Touch' relies on your input, so let David Callaghan, Senior Vice President EMEA Alliances and Channels, know your thoughts and comments via the player consol, by emailing [email protected] or on twitter using the hashtag #DCpickme. The cast will go live on Tuesday 29th October from 10:30am UK / 11:30am CET with studio guests Will O'Brien, VP Alliances & Channels, UK & Ireland, and Markus Reischl, Senior Director and Sales Leader EMEA Strategic Alliances, answering your questions on Oracle Storage and Business Intelligence. To find out more information about the cast, including the full line up, please visit the 'In Touch' webpage here.

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  • Measuring Usability with Common Industry Format (CIF) Usability Tests

    - by Applications User Experience
    Sean Rice, Manager, Applications User Experience A User-centered Research and Design Process The Oracle Fusion Applications user experience was five years in the making. The development of this suite included an extensive and comprehensive user experience design process: ethnographic research, low-fidelity workflow prototyping, high fidelity user interface (UI) prototyping, iterative formative usability testing, development feedback and iteration, and sales and customer evaluation throughout the design cycle. However, this process does not stop when our products are released. We conduct summative usability testing using the ISO 25062 Common Industry Format (CIF) for usability test reports as an organizational framework. CIF tests allow us to measure the overall usability of our released products.  These studies provide benchmarks that allow for comparisons of a specific product release against previous versions of our product and against other products in the marketplace. What Is a CIF Usability Test? CIF refers to the internationally standardized method for reporting usability test findings used by the software industry. The CIF is based on a formal, lab-based test that is used to benchmark the usability of a product in terms of human performance and subjective data. The CIF was developed and is endorsed by more than 375 software customer and vendor organizations led by the National Institute for Standards and Technology (NIST), a US government entity. NIST sponsored the CIF through the American National Standards Institute (ANSI) and International Organization for Standardization (ISO) standards-making processes. Oracle played a key role in developing the CIF. The CIF report format and metrics are consistent with the ISO 9241-11 definition of usability: “The extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use.” Our goal in conducting CIF tests is to measure performance and satisfaction of a representative sample of users on a set of core tasks and to help predict how usable a product will be with the larger population of customers. Why Do We Perform CIF Testing? The overarching purpose of the CIF for usability test reports is to promote incorporation of usability as part of the procurement decision-making process for interactive products. CIF provides a common format for vendors to report the methods and results of usability tests to customer organizations, and enables customers to compare the usability of our software to that of other suppliers. CIF also enables us to compare our current software with previous versions of our software. CIF Testing for Fusion Applications Oracle Fusion Applications comprises more than 100 modules in seven different product families. These modules encompass more than 400 task flows and 400 user roles. Due to resource constraints, we cannot perform comprehensive CIF testing across the entire product suite. Therefore, we had to develop meaningful inclusion criteria and work with other stakeholders across the applications development organization to prioritize product areas for testing. Ultimately, we want to test the product areas for which customers might be most interested in seeing CIF data. We also want to build credibility with customers; we need to be able to make the case to current and prospective customers that the product areas tested are representative of the product suite as a whole. Our goal is to test the top use cases for each product. The primary activity in the scoping process was to work with the individual product teams to identify the key products and business process task flows in each product to test. We prioritized these products and flows through a series of negotiations among the user experience managers, product strategy, and product management directors for each of the primary product families within the Oracle Fusion Applications suite (Human Capital Management, Supply Chain Management, Customer Relationship Management, Financials, Projects, and Procurement). The end result of the scoping exercise was a list of 47 proposed CIF tests for the Fusion Applications product suite.  Figure 1. A participant completes tasks during a usability test in Oracle’s Usability Labs Fusion Supplier Portal CIF Test The first Fusion CIF test was completed on the Supplier Portal application in July of 2011.  Fusion Supplier Portal is part of an integrated suite of Procurement applications that helps supplier companies manage orders, schedules, shipments, invoices, negotiations and payments. The user roles targeted for the usability study were Supplier Account Receivables Specialists and Supplier Sales Representatives, including both experienced and inexperienced users across a wide demographic range.  The test specifically focused on the following functionality and features: Manage payments – view payments Manage invoices – view invoice status and create invoices Manage account information – create new contact, review bank account information Manage agreements – find and view agreement, upload agreement lines, confirm status of agreement lines upload Manage purchase orders (PO) – view history of PO, request change to PO, find orders Manage negotiations – respond to request for a quote, check the status of a negotiation response These product areas were selected to represent the most important subset of features and functionality of the flow, in terms of frequency and criticality of use by customers. A total of 20 users participated in the usability study. The results of the Supplier Portal evaluation were favorable and exceeded our expectations. Figure 2. Fusion Supplier Portal Next Studies We plan to conduct two Fusion CIF usability studies per product family over the next nine months. The next product to be tested will be Self-service Procurement. End users are currently being recruited to participate in this usability study, and the test sessions are scheduled to begin during the last week of November.

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  • World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

    - by Brian
    Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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  • El éxito del Customer Experience

    - by Noelia Gomez
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Desde hace más de un año Oracle está apostando por soluciones que supongan un cambio en la gestión de la relación con el cliente, mejorando su experiencia para fidelizarle mientras las empresas ahorran en costes. Por otro lado, son muchas las empresas las que se han dado cuenta de esta necesidad y de que las redes sociales permiten una conexión con el cliente que antes no se había logrado, pudiendo detectar necesidades antes desconocidas. Por todo ello, el pasado 29 de Octubre Contact Center, en colaboración con Oracle, quiso invitar la los especialistas de Customer Experience de las mayores empresas de España en una jornada ejecutiva para descubrir las novedades en este área e intercambiar opiniones con otros expertos. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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";} Fernando Rumbero, Iberia Applications Cluster Leader de Oracle, abrió las ponencias hablando de la “Tercera Revolución”, una presentación que nos abrió la perspectiva de la realidad en la que vivimos, clientes, usuarios y empresas. Por su parte, Victor Lopez, Sales Consulting Director de Oracle, nos condujo en Un recorrido por el mundo del cliente para lograr ofrecer una experiencia que este espera. Después, conocimos casos prácticos de la mano de Albert Valls, especialista en CX, que nos mostró los resultados de algunos de nuestros clientes y como han logrado alcanzar sus objetivos. Tras un breve descanso que dio lugar al networking, escuchamos a la ponencia más esperada de la jornada: ¿Por qué Linkedin tienen 249 millones de usuarios? Francesc Arbiol, Head of Iberia, Linkedin, fue el responsable de responder a esta pregunta, dándonos las claves para ofrecer un servicio de alta calidad y rentable con Oracle RightNow. En el momento para preguntas y respuestas, moderado por Guillermo San Roman, Applications Sales Director de Oracle, los asistentes estuvieron muy activos y fueron muchas las interacciones con los ponentes y entre los propios asistentes. En este espacio se pusieron de manifiesto las preguntas más latentes de este escenario: ¿Estamos preparados para dar respuesta y comprender al cliente de hoy? ¿Cómo dirigir y priorizar las actividades para alcanzar el mejor resultado?Infraestructuras y claves para aprender a liderar la experiencia de cliente. ¿Cómo integrar a todas las áreas de la empresa en el proceso de Customer Experience? Proactividad y multicanalidad: dos principios básicos en el Customer Experience La jornada se cerró con un coctel en el que el prevaleció el intercambio de opiniones y encuentros entre profesionales. Sin duda un evento de los que te hacen irte a casa con miles de ideas en la cabeza. ¿Estuviste en el encuentro? Cuéntanos, ¿qué te pareció? ¿No pudiste asistir? Ponte en contacto con nosotros y nos acercaremos a tu oficina.   /* 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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • CQRS - Benefits

    - by Dylan Smith
    Thanks to all the comments and feedback from the last post I think I have a better understanding now of the benefits of CQRS (separate from the benefits of Event Sourcing). I’m going to try and sum it up here, and point out some areas where I could still use some advice: CQRS Benefits Sounds like the primary benefit of CQRS as an architecture is it allows you to create a simpler domain model by sucking out everything related to queries. I can definitely see the benefit to this, in general the domain logic related to commands is the high-value behavior in the software, but the logic required to service the queries would add a lot of low-value “noise” to the domain model that would dilute the high-value (command) behavior – sorting, paging, filtering, pre-fetch paths, etc. Also the most appropriate domain structure for implementing commands might not be the most optimal for implementing queries. To paraphrase Greg, this usually results in a domain model that is mediocre at both, piss-poor at one, or more likely piss-poor at both commands and queries. Not only will you be able to simplify your domain model by pulling out all the query logic, but at least a handful of commands in most systems will probably be “pass-though” type commands with little to no logic that just generate events. If these can be implemented directly in the command-handler and never touch the domain model, this allows you to slim down the domain model even more. Also, if you were to do event sourcing without CQRS, you no longer have a database containing the current state (only the domain model would) which makes it difficult (or impossible) to support ad-hoc querying and/or reporting that is common in most business software. Of course CQRS provides some great scalability benefits, not only scalability but I have to assume that it provides extremely low latency for most operations, especially if you have an asynchronous event bus. I know Greg says that you get a 3x scaling (Commands, Queries, Client) of your ability to perform parallel development, but IMHO, it seems like it only provides 1.5x scaling since even without CQRS you’re going to have your client loosely coupled to your domain - which is still a great benefit to be able to realize. Questions / Concerns If all the queries against an aggregate get pulled out to the Query layer, what if the only commands for that aggregate can be handled in a “pass-through” manner with the command handler directly generating events. Is it possible to have an aggregate that isn’t modeled in the domain model? Are there any issues or downsides to this? I know in the feedback from my previous posts it was suggested that having one domain model handling both commands and queries requires implementing a lot of traversals between objects that wouldn’t be necessary if it was only servicing commands. My question is, do you include traversals in your domain model based on the needs of the code, or based on the conceptual domain model? If none of my Commands require a Customer.Orders traversal, but the conceptual domain includes the concept of a set of orders belonging to a customer – should I model that in my domain model or not? I like the idea of using the Query side of the architecture as a place to put junior devs where the risk of them screwing something up has minimal impact. But I’m not sold on the idea that you can actually outsource it. Like I said in one of my comments on my previous post, the code to handle a query and generate DTO’s is going to be dead simple, but the code to process events and apply them to the tables on the query side is going to require a significant amount of domain knowledge to know which events to listen for to update each of the de-normalized tables (and what changes need to be made when each event is processed). I don’t know about everybody else, but having Indian/Russian/whatever outsourced developers have to do anything that requires significant domain knowledge has never been successful in my experience. And if you need to spec out for each new query which events to listen to and what to do with each one, well that’s probably going to be just as much work to document as it would be to just implement it. Greg made the point in a comment that doing an aggregate query like “Total Sales By Customer” is going to be inefficient if you use event sourcing but not CQRS. I don’t understand why that would be the case. I imagine in that case you’d simply have a method/property on the Customer object that calculated total sales for that customer by enumerating over the Orders collection. Then the application services layer would generate DTO’s off of the Customers collection that included say the CustomerID, CustomerName, TotalSales, or whatever the case may be. As long as you use a snapshotting implementation, I don’t see why that would be anymore inefficient in a DDD+Event Sourcing implementation than in a typical DDD implementation. Like I mentioned in my last post I still have some questions about query logic that haven’t been answered yet, but before I start asking those I want to make sure I have a strong grasp on what benefits CQRS provides.  My main concern with the query logic was that I know I could just toss it all into the query side, but I was concerned that I would be losing the benefits of using CQRS in the first place if I did that.  I want to elaborate more on this though with some example situations in an upcoming post.

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  • SQL SERVER – Simple Example of Incremental Statistics – Performance improvements in SQL Server 2014 – Part 2

    - by Pinal Dave
    This is the second part of the series Incremental Statistics. Here is the index of the complete series. What is Incremental Statistics? – Performance improvements in SQL Server 2014 – Part 1 Simple Example of Incremental Statistics – Performance improvements in SQL Server 2014 – Part 2 DMV to Identify Incremental Statistics – Performance improvements in SQL Server 2014 – Part 3 In part 1 we have understood what is incremental statistics and now in this second part we will see a simple example of incremental statistics. This blog post is heavily inspired from my friend Balmukund’s must read blog post. If you have partitioned table and lots of data, this feature can be specifically very useful. Prerequisite Here are two things you must know before you start with the demonstrations. AdventureWorks – For the demonstration purpose I have installed AdventureWorks 2012 as an AdventureWorks 2014 in this demonstration. Partitions – You should know how partition works with databases. Setup Script Here is the setup script for creating Partition Function, Scheme, and the Table. We will populate the table based on the SalesOrderDetails table from AdventureWorks. -- Use Database USE AdventureWorks2014 GO -- Create Partition Function CREATE PARTITION FUNCTION IncrStatFn (INT) AS RANGE LEFT FOR VALUES (44000, 54000, 64000, 74000) GO -- Create Partition Scheme CREATE PARTITION SCHEME IncrStatSch AS PARTITION [IncrStatFn] TO ([PRIMARY], [PRIMARY], [PRIMARY], [PRIMARY], [PRIMARY]) GO -- Create Table Incremental_Statistics CREATE TABLE [IncrStatTab]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [ModifiedDate] [datetime] NOT NULL) ON IncrStatSch(SalesOrderID) GO -- Populate Table INSERT INTO [IncrStatTab]([SalesOrderID], [SalesOrderDetailID], [CarrierTrackingNumber], [OrderQty], [ProductID], [SpecialOfferID], [UnitPrice],   [UnitPriceDiscount], [ModifiedDate]) SELECT     [SalesOrderID], [SalesOrderDetailID], [CarrierTrackingNumber], [OrderQty], [ProductID], [SpecialOfferID], [UnitPrice],   [UnitPriceDiscount], [ModifiedDate] FROM       [Sales].[SalesOrderDetail] WHERE      SalesOrderID < 54000 GO Check Details Now we will check details in the partition table IncrStatSch. -- Check the partition SELECT * FROM sys.partitions WHERE OBJECT_ID = OBJECT_ID('IncrStatTab') GO You will notice that only a few of the partition are filled up with data and remaining all the partitions are empty. Now we will create statistics on the Table on the column SalesOrderID. However, here we will keep adding one more keyword which is INCREMENTAL = ON. Please note this is the new keyword and feature added in SQL Server 2014. It did not exist in earlier versions. -- Create Statistics CREATE STATISTICS IncrStat ON [IncrStatTab] (SalesOrderID) WITH FULLSCAN, INCREMENTAL = ON GO Now we have successfully created statistics let us check the statistical histogram of the table. Now let us once again populate the table with more data. This time the data are entered into a different partition than earlier populated partition. -- Populate Table INSERT INTO [IncrStatTab]([SalesOrderID], [SalesOrderDetailID], [CarrierTrackingNumber], [OrderQty], [ProductID], [SpecialOfferID], [UnitPrice],   [UnitPriceDiscount], [ModifiedDate]) SELECT     [SalesOrderID], [SalesOrderDetailID], [CarrierTrackingNumber], [OrderQty], [ProductID], [SpecialOfferID], [UnitPrice],   [UnitPriceDiscount], [ModifiedDate] FROM       [Sales].[SalesOrderDetail] WHERE      SalesOrderID > 54000 GO Let us check the status of the partition once again with following script. -- Check the partition SELECT * FROM sys.partitions WHERE OBJECT_ID = OBJECT_ID('IncrStatTab') GO Statistics Update Now here has the new feature come into action. Previously, if we have to update the statistics, we will have to FULLSCAN the entire table irrespective of which partition got the data. However, in SQL Server 2014 we can just specify which partition we want to update in terms of Statistics. Here is the script for the same. -- Update Statistics Manually UPDATE STATISTICS IncrStatTab (IncrStat) WITH RESAMPLE ON PARTITIONS(3, 4) GO Now let us check the statistics once again. -- Show Statistics DBCC SHOW_STATISTICS('IncrStatTab', IncrStat) WITH HISTOGRAM GO Upon examining statistics histogram, you will notice that now the distribution has changed and there is way more rows in the histogram. Summary The new feature of Incremental Statistics is indeed a boon for the scenario where there are partitions and statistics needs to be updated frequently on the partitions. In earlier version to update statistics one has to do FULLSCAN on the entire table which was wasting too many resources. With the new feature in SQL Server 2014, now only those partitions which are significantly changed can be specified in the script to update statistics. Cleanup You can clean up the database by executing following scripts. -- Clean up DROP TABLE [IncrStatTab] DROP PARTITION SCHEME [IncrStatSch] DROP PARTITION FUNCTION [IncrStatFn] GO Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SQL Statistics, Statistics

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  • Code is not the best way to draw

    - by Bertrand Le Roy
    It should be quite obvious: drawing requires constant visual feedback. Why is it then that we still draw with code in so many situations? Of course it’s because the low-level APIs always come first, and design tools are built after and on top of those. Existing design tools also don’t typically include complex UI elements such as buttons. When we launched our Touch Display module for Netduino Go!, we naturally built APIs that made it easy to draw on the screen from code, but very soon, we felt the limitations and tedium of drawing in code. In particular, any modification requires a modification of the code, followed by compilation and deployment. When trying to set-up buttons at pixel precision, the process is not optimal. On the other hand, code is irreplaceable as a way to automate repetitive tasks. While tools like Illustrator have ways to repeat graphical elements, they do so in a way that is a little alien and counter-intuitive to my developer mind. From these reflections, I knew that I wanted a design tool that would be structurally code-centric but that would still enable immediate feedback and mouse adjustments. While thinking about the best way to achieve this goal, I saw this fantastic video by Bret Victor: The key to the magic in all these demos is permanent execution of the code being edited. Whenever a parameter is being modified, everything is re-executed immediately so that the impact of the modification is instantaneously visible. If you do this all the time, the code and the result of its execution fuse in the mind of the user into dual representations of a single object. All mental barriers disappear. It’s like magic. The tool I built, Nutshell, is just another implementation of this principle. It manipulates a list of graphical operations on the screen. Each operation has a nice editor, and translates into a bit of code. Any modification to the parameters of the operation will modify the bit of generated code and trigger a re-execution of the whole program. This happens so fast that it feels like the drawing reacts instantaneously to all changes. The order of the operations is also the order in which the code gets executed. So if you want to bring objects to the front, move them down in the list, and up if you want to move them to the back: But where it gets really fun is when you start applying code constructs such as loops to the design tool. The elements that you put inside of a loop can use the loop counter in expressions, enabling crazy scenarios while retaining the real-time edition features. When you’re done building, you can just deploy the code to the device and see it run in its native environment: This works thanks to two code generators. The first code generator is building JavaScript that is executed in the browser to build the canvas view in the web page hosting the tool. The second code generator is building the C# code that will run on the Netduino Go! microcontroller and that will drive the display module. The possibilities are fascinating, even if you don’t care about driving small touch screens from microcontrollers: it is now possible, within a reasonable budget, to build specialized design tools for very vertical applications. Direct feedback is a powerful ally in many domains. Code generation driven by visual designers has become more approachable than ever thanks to extraordinary JavaScript libraries and to the powerful development platform that modern browsers provide. I encourage you to tinker with Nutshell and let it open your eyes to new possibilities that you may not have considered before. It’s open source. And of course, my company, Nwazet, can help you develop your own custom browser-based direct feedback design tools. This is real visual programming…

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  • SQL SERVER – Discard Results After Query Execution – SSMS

    - by pinaldave
    The first thing I do any day is to turn on the computer. Today I woke up and as soon as I turned on the computer I saw a chat message from a friend. He was a bit confused and wanted me to help him. Just as usual I am keeping the relevant conversation in focus and documenting our conversation as chat. Let us call him Ajit. Ajit: Pinal, every time I run a query there is no result displayed in the SSMS but when I run the query in my application it works and returns an appropriate result. Pinal:  Have you tried with different parameters? Ajit: Same thing. However, it works from another computer when I connect to the same server with the same query parameters? Pinal: What? That is new and I believe it is something to do with SSMS and not with the server. Send me screenshot please. Ajit: I believe so, let me send you a screenshot, Pinal: (looking at the screenshot) Oh man, there is no result-tab at all. Ajit: That is what the problem is. It does not have the tab which displays the result. This works just fine from another computer. Pinal: Have you referred Nakul’s blog post – SSMS – Query result options – Discard result after query executes, that talks about setting which can discard the query results after execution. (After a while) Ajit: I think it seems like on the computer where I am running the query my SSMS seems to have the option enabled related to discarding results. I fixed it by following Nakul’s blog post. Pinal: Great! Quite often I get the question what is the importance of the feature. Let us first see how to turn on or turn off this feature in SQL Server Management Studio 2012. In SSMS 2012 go to Tools >> Options >> Query Results > SQL Server >> Results to Grid >> Discard Results After Query Execution. When enabled this option will discard results after the execution. The advantage of disabling the option is that it will improve the performance by using less memory. However the real question is why would someone enable or disable the option. What are the cases when someone wants to run the query but do not care about the result? Matter of the fact, it does not make sense at all to run query and not care about the result. The matter of the fact, I can see quite a few reasons for using this option. I often enable this option when I am doing performance tuning exercise. During performance tuning exercise when I am working with execution plans and do not need results to verify every time or when I am tuning Indexes and its effect on execution plan I do not need the results. In this kind of situations I do keep this option on and discard the results. It always helps me big time as in most of the performance tuning exercise I am dealing with huge amount of the data and dealing with this data can be expensive. Nakul’s has done the experiment here already but I am going to repeat the same again using AdventureWorks Database. Run following T-SQL Script with and without enabling the option to discard the results. USE AdventureWorks2012 GO SELECT * FROM Sales.SalesOrderDetail GO 10 After enabling Discard Results After Query Execution After disabling Discard Results After Query Execution Well, this is indeed a good option when someone is debugging the execution plan or does not want the result to be displayed. Please note that this option does not reduce IO or CPU usage for SQL Server. It just discards the results after execution and a good help for debugging on the development server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • Sun2Oracle: Hub City Media Webcast Reminder - Thursday, September 13, 2012

    - by Darin Pendergraft
    Our Sun2Oracle webcast featuring Steve Giovanetti from Hub City Media is this Thursday, September 13th at 10:00 am PST.  If you haven't registered yet, there is still time: Register Here. Scott Bonell, Sr. Director of Product Management will be talking to Steve about their recent project to upgrade a large University from Sun DSEE Directory to Oracle Unified Directory.  Scott and Steve will talk through details of the project, from planning through implementation. In addition to this webcast, Steve Giovanetti will also be participating in two sessions at Oracle OpenWorld 2012: CON9465 - Next-Generation Directory: Oracle Unified Directory  Etienne Remillon, Principal Product Manager, Oracle  Steve Giovanetti, CTO Hub City Media  Warren Leung, Sr. Architect, UCLA  Tuesday, Oct 2, 5:00 PM – 6:00 PM  Moscone West – 3008 CON5749 - Solutions for Migration of Oracle Waveset to Oracle Identity Manager Steve Giovanetti, CTO Hub City Media Kevin Moulton, Senior Sales Consulting  Manager, Oracle Thursday, Oct 4, 11:15 AM - 12:15 PM Moscone West - 3008

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  • What’s the Difference Between Succession Management and Talent Reviews?

    - by HCM-Oracle
    By Marcie Van Houten Is there a difference or are they pieces of one holistic strategic talent process? And can you have one without the other?  First, let me give a quick definition of each.  Succession planning (or management) is about creating succession slates or talent pools in support of a critical job or position or sets thereof. And then using those plans to help mitigate risk and plan talent needs for the organization.  Talent reviews (known by other names often) are sets of meetings where managers and executives come together to review, discuss and often heatedly debate the merits and potential of their employees, and then place and sometimes calibrate that talent on a performance to potential matrix.  These are some of the most strategic conversations happening in conference rooms across the globe. I speak with a lot of organizations about their practices in this area and the answers to these questions are as varied and nuanced as there are organizations thinking about them.  Some are passionate about their talent review processes and have a very evolved and thoughtful approach.  They really know their people, where their talent is, and the opportunities they plan to offer them.  And to them that is their succession process.  They may never create a slate of named candidates for a job or assign employees to formal talent pools.   On the flip side there are other organizations that create slates and slates and often multiple talent pools to support their strategic positions.  Through these, they are able to mitigate the risk associated with having a key player leave their organization.  And for them, that is their succession process.  Some will start from the lower levels of their organization and roll up their succession plans, while other organizations only cover their top 200 executives and key positions with plans.  And then there are organizations that leverage some of all of these.  Ultimately, the goals are to increase employee engagement, reduce talent-related risk, ensure the right talent is aligned to the strategic initiatives and to drive business value.  The approaches are as unique as the organizations they represent and the business opportunities they are looking to seize upon.   And that's ok.  It's great in fact. Because one thing that is common is the recognition that the need to know your people and align your top talent to the future needs of the organization is mission critical. Sure, there are a set of commonly recognized best practices and guiding principles for all of this.  There is no one right or perfect answer.  And that is what makes this all so much darn fun.  With Talent Review and Succession Management from Oracle HCM Cloud, we’ve blended the ability to support your strategic talent review conversations with both succession plans and talent pools allowing for one very seamless and interactive process. So whether you create a lot of succession plans, only focus on talent pools, have a robust talent review process, or all of the above, Oracle has you covered. I’m looking forward to spending time with our customers at the upcoming OHUG Global Conference 2014 happening June 9-13 in Las Vegas.  It’s an opportunity for me to talk to customers about their business and how they are doing strategic talent processes like talent reviews and succession.  I hope to see you there. Marcie Van Houten brings over 20 years of management consulting, information systems and human capital management experience to her role as director of product strategy at Oracle. Ms. Van Houten has spent the past several years at Oracle working closely with customers to help drive the direction of the company's talent and succession management applications. Additionally, she spent nine years at PeopleSoft as Director of Information Systems leading human capital management implementation projects. Marcie Van Houten lives in Walnut Creek, California, and holds a MBA from Southern Methodist University in Dallas, Texas.  You can follow her on Twitter: @MarcieVH

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  • SQL in Boston -- Red Gate Style

    - by Adam Machanic
    You might have heard of Red Gate's famous SQL in the City events: free, full-day educational events where you can learn from Red Gate's own evangelists in addition to various MVPs and other guests. With just a tiny bit of marketing thrown in for good measure (don't worry, it's not a daylong sales pitch). Red Gate is doing a US tour this fall, and I'm happy to note that my fair city of Boston is one of the stops ... and I am one of the speakers. The event takes place on October 8 . I'll be delivering...(read more)

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  • App Store: Profitability for Game Developers

    - by Bunkai.Satori
    Recent days, I've been spending significant time in discovering chances of profitability of AppStore for developers. I have found many articles. Some of them are highly optimistic, while other are extremely skeptical. This article is extremely skeptical. It even claims to have backed its conclusions by objective sales numbers. This is another pesimistic article saying that games developed by single individuals get 20 downloads a day. Can I kindly ask to clarify from business viewpoint whether average developers publishing games and software on AppStore can cover their living expenses, even, whether they can become profitable? Is it achievable to generate revenues of 50.000 USD yearly on AppStore for a single developer? I would like to stay as realistic as possible. Despite the question might look subjective, a good business man will be able to esitmate chances for profitability and prosperity within AppStore.

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  • Gestire la relazione con il fornitore: strategie, processi, strumenti

    - by antonella.buonagurio(at)oracle.com
    Si é svolto il 3 Marzo un interessante incontro sul tema delle relazioni fra fornitori ed ufficio acquisti. Cesare Businelli , Direttore Generale Italia dell' European Institute of Purchasing Management ha illustrato, in un tempo purtoppo inferiore al necessario, come gestire le relazioni e la collaborazione con i fornitori strategici per creare valore, portando numerosi esempi di successo e stimolando l'uditorio, composto dai responsabili acquisti di piu di 20 aziende. A seguire Lino Campofiorito - Procurement Solutions Sales Consultant di Oracle ha illustrato alcune delle soluzioni informatiche a supporto. Qui potrete trovare le slides. Al termine dell'incontro molte domande per i relatori a conferma dell'interesse del tema.  Oracle Procurement Channel View more presentations from antobng82.

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  • SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at another IO-related wait type. From Book On-Line: Occurs when a task is waiting for I/Os to finish. ASYNC_IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. If by any means your application that’s connected to SQL Server is processing the data very slowly, this type of wait can occur. Several long-running database operations like BACKUP, CREATE DATABASE, ALTER DATABASE or other operations can also create this wait type. Reducing ASYNC_IO_COMPLETION wait: When it is an issue related to IO, one should check for the following things associated to IO subsystem: Look at the programming and see if there is any application code which processes the data slowly (like inefficient loop, etc.). Note that it should be re-written to avoid this  wait type. Proper placing of the files is very important. We should check the file system for proper placement of the files – LDF and MDF on separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is a higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly and so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on the development setup (test environment). As soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very likely to happen that there are no proper indexes on the system and yet there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the following two articles I wrote that talk about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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