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  • Pulling Data out of an object in Javascript

    - by PerryCS
    I am having a problem retreiving data out of an object passed back from PHP. I've tried many different ways to access this data and none work. In Firebug I see the following... (it looks nicer in Firebug) - I tried to make this look as close to Firebug as possible results Object { data="{"formName":"form3","formData":"data goes here"}", phpLiveDebug="<...s: 198.91.215.227"} data "{"formName":"form3","formData":"data goes here"}" phpLiveDebug "<...s: 198.91.215.227" I can access phpLiveDebug no problem, but the data portion is an object. I have tried the following... success: function(results) { //$("#formName").val(results.data.formName); //$("#formName").val(results.data[0].formName); //$("#formName").val(results.data[0]); //$("#formName").val(results.data[1]); //$("#formName").val(results.data[0]["formName"]); var tmp = results.data[formName]; alert("!" + tmp + "!"); $("#formName").val(tmp); $("#jqueryPHPDebug").val(results.phpLiveDebug); } This line works in the example above... $("#jqueryPHPDebug").val(results.phpLiveDebug); but... I can't figure out how to get at the data inside the results.data portion... as you can see above, I have been trying different things and more not even listed there. I was really hoping this line would work :) var tmp = results.data[formName]; But it doesn't. So, after many days of reading, tinkering, my solution was to re-write it to return data similar to the phpLiveDebug but then I thought... it's gotta be something simple I'm overlooking... Thank you for your time. Please try and explain why my logic (my horrible attempts at trying to figure out the proper method) above is wrong if you can?

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  • Database continuous integration step by step

    - by David Atkinson
    This post will describe how to set up basic database continuous integration using TeamCity to initiate the build process, SQL Source Control to put your database under source control, and the SQL Compare command line to keep a test database up to date. In my example I will be using Subversion as my source control repository. If you wish to follow my steps verbatim, please make sure you have TortoiseSVN, SQL Compare and SQL Source Control installed. Downloading and Installing TeamCity TeamCity (http://www.jetbrains.com/teamcity/index.html) is free for up to three agents, so it a great no-risk tool you can use to experiment with. 1. Download the latest version from the JetBrains website. For some reason the TeamCity executable didn't download properly for me, stalling frustratingly at 99%, so I tried again with the zip file download option (see screenshot below), which worked flawlessly. 2. Run the installer using the defaults. This results in a set-up with the server component and agent installed on the same machine, which is ideal for getting started with ease. 3. Check that the build agent is pointing to the server correctly. This has caught me out a few times before. This setting is in C:\TeamCity\buildAgent\conf\buildAgent.properties and for my installation is serverUrl=http\://localhost\:80 . If you need to change this value, if for example you've had to install the Server console to a different port number, the TeamCity Build Agent Service will need to be restarted for the change to take effect. 4. Open the TeamCity admin console on http://localhost , and specify your own designated username and password at first startup. Putting your database in source control using SQL Source Control 5. Assuming you've got SQL Source Control installed, select a development database in the SQL Server Management Studio Object Explorer and select Link Database to Source Control. 6. For the Link step you can either create your own empty folder in source control, or you can select Just Evaluating, which just creates a local subversion repository for you behind the scenes. 7. Once linked, note that your database turns green in the Object Explorer. Visit the Commit tab to do an initial commit of your database objects by typing in an appropriate comment and clicking Commit. 8. There is a hidden feature in SQL Source Control that opens up TortoiseSVN (provided it is installed) pointing to the linked repository. Keep Shift depressed and right click on the text to the right of 'Linked to', in the example below, it's the red Evaluation Repository text. Select Open TortoiseSVN Repo Browser. This screen should give you an idea of how SQL Source Control manages the object files behind the scenes. Back in the TeamCity admin console, we'll now create a new project to monitor the above repository location and to trigger a 'build' each time the repository changes. 9. In TeamCity Adminstration, select Create Project and give it a name, such as "My first database CI", and click Create. 10. Click on Create Build Configuration, and name it something like "Integration build". 11. Click VCS settings and then Create And Attach new VCS root. This is where you will tell TeamCity about the repository it should monitor. 12. In my case since I'm using the Just Evaluating option in SQL Source Control, I should select Subversion. 13. In the URL field paste your repository location. In my case this is file:///C:/Users/David.Atkinson/AppData/Local/Red Gate/SQL Source Control 3/EvaluationRepositories/WidgetDevelopment/WidgetDevelopment 14. Click on Test Connection to ensure that you can communicate with your source control system. Click Save. 15. Click Add Build Step, and Runner Type: Command Line. Should you be familiar with the other runner types, such as NAnt, MSBuild or Powershell, you can opt for these, but for the same of keeping it simple I will pick the simplest option. 16. If you have installed SQL Compare in the default location, set the Command Executable field to: C:\Program Files (x86)\Red Gate\SQL Compare 10\sqlcompare.exe 17. Flip back to SSMS briefly and add a new database to your server. This will be the database used for continuous integration testing. 18. Set the command parameters according to your server and the name of the database you have created. In my case I created database RedGateCI on server .\sql2008r2 /scripts1:. /server2:.\sql2008r2 /db2:RedGateCI /sync /verbose Note that if you pick a server instance that isn't on your local machine, you'll need the TCP/IP protocol enabled in SQL Server Configuration Manager otherwise the SQL Compare command line will not be able to connect. 19. Save and select Build Triggering / Add New Trigger / VCS Trigger. This is where you tell TeamCity when it should initiate a build. Click Save. 20. Now return to SQL Server Management Studio and make a schema change (eg add a new object) to your linked development database. A blue indicator will appear in the Object Explorer. Commit this change, typing in an appropriate check-in comment. All being good, within 60 seconds (a TeamCity default that can be changed) a build will be triggered. 21. Click on Projects in TeamCity to get back to the overview screen: The build log will show you the console output, which is useful for troubleshooting any issues: That's it! You now have continuous integration on your database. In future posts I'll cover how you can generate and test the database creation script, the database upgrade script, and run database unit tests as part of your continuous integration script. If you have any trouble getting this up and running please let me know, either by commenting on this post, or email me directly using the email address below. Technorati Tags: SQL Server

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • Building dynamic OLAP data marts on-the-fly

    - by DrJohn
    At the forthcoming SQLBits conference, I will be presenting a session on how to dynamically build an OLAP data mart on-the-fly. This blog entry is intended to clarify exactly what I mean by an OLAP data mart, why you may need to build them on-the-fly and finally outline the steps needed to build them dynamically. In subsequent blog entries, I will present exactly how to implement some of the techniques involved. What is an OLAP data mart? In data warehousing parlance, a data mart is a subset of the overall corporate data provided to business users to meet specific business needs. Of course, the term does not specify the technology involved, so I coined the term "OLAP data mart" to identify a subset of data which is delivered in the form of an OLAP cube which may be accompanied by the relational database upon which it was built. To clarify, the relational database is specifically create and loaded with the subset of data and then the OLAP cube is built and processed to make the data available to the end-users via standard OLAP client tools. Why build OLAP data marts? Market research companies sell data to their clients to make money. To gain competitive advantage, market research providers like to "add value" to their data by providing systems that enhance analytics, thereby allowing clients to make best use of the data. As such, OLAP cubes have become a standard way of delivering added value to clients. They can be built on-the-fly to hold specific data sets and meet particular needs and then hosted on a secure intranet site for remote access, or shipped to clients' own infrastructure for hosting. Even better, they support a wide range of different tools for analytical purposes, including the ever popular Microsoft Excel. Extension Attributes: The Challenge One of the key challenges in building multiple OLAP data marts based on the same 'template' is handling extension attributes. These are attributes that meet the client's specific reporting needs, but do not form part of the standard template. Now clearly, these extension attributes have to come into the system via additional files and ultimately be added to relational tables so they can end up in the OLAP cube. However, processing these files and filling dynamically altered tables with SSIS is a challenge as SSIS packages tend to break as soon as the database schema changes. There are two approaches to this: (1) dynamically build an SSIS package in memory to match the new database schema using C#, or (2) have the extension attributes provided as name/value pairs so the file's schema does not change and can easily be loaded using SSIS. The problem with the first approach is the complexity of writing an awful lot of complex C# code. The problem of the second approach is that name/value pairs are useless to an OLAP cube; so they have to be pivoted back into a proper relational table somewhere in the data load process WITHOUT breaking SSIS. How this can be done will be part of future blog entry. What is involved in building an OLAP data mart? There are a great many steps involved in building OLAP data marts on-the-fly. The key point is that all the steps must be automated to allow for the production of multiple OLAP data marts per day (i.e. many thousands, each with its own specific data set and attributes). Now most of these steps have a great deal in common with standard data warehouse practices. The key difference is that the databases are all built to order. The only permanent database is the metadata database (shown in orange) which holds all the metadata needed to build everything else (i.e. client orders, configuration information, connection strings, client specific requirements and attributes etc.). The staging database (shown in red) has a short life: it is built, populated and then ripped down as soon as the OLAP Data Mart has been populated. In the diagram below, the OLAP data mart comprises the two blue components: the Data Mart which is a relational database and the OLAP Cube which is an OLAP database implemented using Microsoft Analysis Services (SSAS). The client may receive just the OLAP cube or both components together depending on their reporting requirements.  So, in broad terms the steps required to fulfil a client order are as follows: Step 1: Prepare metadata Create a set of database names unique to the client's order Modify all package connection strings to be used by SSIS to point to new databases and file locations. Step 2: Create relational databases Create the staging and data mart relational databases using dynamic SQL and set the database recovery mode to SIMPLE as we do not need the overhead of logging anything Execute SQL scripts to build all database objects (tables, views, functions and stored procedures) in the two databases Step 3: Load staging database Use SSIS to load all data files into the staging database in a parallel operation Load extension files containing name/value pairs. These will provide client-specific attributes in the OLAP cube. Step 4: Load data mart relational database Load the data from staging into the data mart relational database, again in parallel where possible Allocate surrogate keys and use SSIS to perform surrogate key lookup during the load of fact tables Step 5: Load extension tables & attributes Pivot the extension attributes from their native name/value pairs into proper relational tables Add the extension attributes to the views used by OLAP cube Step 6: Deploy & Process OLAP cube Deploy the OLAP database directly to the server using a C# script task in SSIS Modify the connection string used by the OLAP cube to point to the data mart relational database Modify the cube structure to add the extension attributes to both the data source view and the relevant dimensions Remove any standard attributes that not required Process the OLAP cube Step 7: Backup and drop databases Drop staging database as it is no longer required Backup data mart relational and OLAP database and ship these to the client's infrastructure Drop data mart relational and OLAP database from the build server Mark order complete Start processing the next order, ad infinitum. So my future blog posts and my forthcoming session at the SQLBits conference will all focus on some of the more interesting aspects of building OLAP data marts on-the-fly such as handling the load of extension attributes and how to dynamically alter the structure of an OLAP cube using C#.

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  • Domain model integration using JSON capable DTOs

    - by g-makulik
    I'm a bit confused about architectural choices for the java/web-applications world. The background is I have a system with certain hardware components (that introduce system immanent active behavior) and a configuration database for system meta and HW-components configuration data (these are even usually self contained, since the HW-components persist configuration data anyway). For realization of the configuration/status data exchange protocol with the HW-components we have chosen the Google Protobuf format, which works well for the directly wired communication with these components. Now we want to develop an abstract model (domain model) for those HW-components and I have the feeling that a plain Java class model would fit best for this (c++ implementation seems to have too much implementation/integration overhead with viable language-bridge interfaces). Google Protobuf message definitions could still serve well to describe DTO objects used to interact with a domain model API. But integrating Google Protobuf messages client side for e.g. data binding in the current view doesn't seem to be a good choice. I'm thinking about some extra serialization features, e.g. for JSON based data exchange with the views/controllers. Most lightweight solutions seem to involve a python based presentation layer using JSON based data transfer (I'm at least not sure to be fully informed about this). Is there some lightweight (applicable for a limited ARM Linux platform) framework available, supporting such architecture to realize a web-application?

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  • AutoVue Integrates with Primavera P6

    - by celine.beck
    Oracle's Primavera P6 Enterprise Project Portfolio Management is an integrated project portfolio management (PPM) application that helps select the right strategic mix of projects, balance resource capacity, manage project risk and complete projects on time and within budget. AutoVue 19.3 and later versions (release 20.0) now integrate out of the box with the Web version of Oracle Primavera P6 release 7. The integration between the two products, which was announced during Oracle Open World 2009, provides project teams with ready access to any project documents directly from within the context of P6 in support for project scope definition and project planning and execution. You can learn more about the integration between AutoVue and Primavera P6 by: Listening to the Oracle Appcast entitled Enhance Primavera Project Document Collaboration with AutoVue Enterprise Visualization Watching an Oracle Webcast about how to improve project success with document visualization and collaboration Watching a recorded demo of the integrated solution Teams involved in complex projects like construction or plant shutdown activities are highly interdependent: the decisions of one affecting the actions of many others. This coupled with increasing project complexity, a vast array of players and heavy engineering and document-intensive workflows makes it more challenging to complete jobs on time and within budget. Organizations need complete visibility into project information, as well as robust project planning, risk analysis and resource balancing capabilities similar to those featured in Primavera P6 ; they also need to make sure that all project stakeholders, even those who neither understand engineering drawings nor are interested in engineering details that go beyond their specific needs, have ready access to technically advanced project information. This is exactly what the integration between AutoVue and Primavera delivers: ready access to any project information attached to Primavera projects, tasks or activities via AutoVue. There is no need for users to waste time searching for project-related documents or disrupting engineers for printouts, users have all the context they need to make sound decisions right from within Primavera P6 with a single click of a button. We are very excited about this new integration. If you are using Primavera and / or Primavera tied with AutoVue, we would be interested in getting your feedback on this integration! Please do not hesitate to post your comments / reactions on the blog!

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  • SQL SERVER – List of Article on Expressor Data Integration Platform

    - by pinaldave
    The ability to transform data into meaningful and actionable information is the most important information in current business world. In this fast growing and changing business needs effective data integration is single most important thing in making proper decision making. I have been following expressor software since November 2010, when I met expressor team in Seattle. Here are my posts on their innovative data integration platform and expressor Studio, a free desktop ETL tool: 4 Tips for ETL Software IDE Developers Introduction to Adaptive ETL Tool – How adaptive is your ETL? Sharing your ETL Resources Across Applications with Ease expressor Studio Includes Powerful Scripting Capabilities expressor 3.2 Release Review 5 Tips for Improving Your Data with expressor Studio As I had mentioned in some of my blog posts on them, I encourage you to download and test-drive their Studio product – it’s free. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SSIS

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  • GitHub Integration in Windows Azure Web Site

    - by Shaun
    Microsoft had just announced an update for Windows Azure Web Site (a.k.a. WAWS). There are four major features added in WAWS which are free scaling mode, GitHub integration, custom domain and multi branches. Since I ‘m working in Node.js and I would like to have my code in GitHub and deployed automatically to my Windows Azure Web Site once I sync my code, this feature is a big good news to me.   It’s very simple to establish the GitHub integration in WAWS. First we need a clean WAWS. In its dashboard page click “Set up Git publishing”. Currently WAWS doesn’t support to change the publish setting. So if you have an existing WAWS which published by TFS or local Git then you have to create a new WAWS and set the Git publishing. Then in the deployment page we can see now WAWS supports three Git publishing modes: - Push my local files to Windows Azure: In this mode we will create a new Git repository on local machine and commit, publish our code to Windows Azure through Git command or some GUI. - Deploy from my GitHub project: In this mode we will have a Git repository created on GitHub. Once we publish our code to GitHub Windows Azure will download the code and trigger a new deployment. - Deploy from my CodePlex project: Similar as the previous one but our code would be in CodePlex repository.   Now let’s back to GitHub and create a new publish repository. Currently WAWS GitHub integration only support for public repositories. The private repositories support will be available in several weeks. We can manage our repositories in GitHub website. But as a windows geek I prefer the GUI tool. So I opened the GitHub for Windows, login with my GitHub account and select the “github” category, click the “add” button to create a new repository on GitHub. You can download the GitHub for Windows here. I specified the repository name, description, local repository, do not check the “Keep this code private”. After few seconds it will create a new repository on GitHub and associate it to my local machine in that folder. We can find this new repository in GitHub website. And in GitHub for Windows we can also find the local repository by selecting the “local” category.   Next, we need to associate this repository with our WAWS. Back to windows developer portal, open the “Deploy from my GitHub project” in the deployment page and click the “Authorize Windows Azure” link. It will bring up a new windows on GitHub which let me allow the Windows Azure application can access your repositories. After we clicked “Allow”, windows azure will retrieve all my GitHub public repositories and let me select which one I want to integrate to this WAWS. I selected the one I had just created in GitHub for Windows. So that’s all. We had completed the GitHub integration configuration. Now let’s have a try. In GitHub for Windows, right click on this local repository and click “open in explorer”. Then I added a simple HTML file. 1: <html> 2: <head> 3: </head> 4: <body> 5: <h1> 6: I came from GitHub, WOW! 7: </h1> 8: </body> 9: </html> Save it and back to GitHub for Windows, commit this change and publish. This will upload our changes to GitHub, and Windows Azure will detect this update and trigger a new deployment. If we went back to azure developer portal we can find the new deployment. And our commit message will be shown as the deployment description as well. And here is the page deployed to WAWS.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • La beta du Feature Pack est disponible pour Team Foundation Server 2010 et Project Server Integration

    La beta du Feature Pack est disponible Pour Team Foundation Server 2010 et Project Server Integration Microsoft vient d'annoncer la disponibilité de la beta du Feature Pack de Team Foundation Server 2010 et Projet Server Integration ce qui marque la fin des CTP(community technical preview). La beta du Feature Pack de Team Foundation Server 2010 et Project Server (TFS-PS) est disponible uniquement pour les abonnées MSDN et sur licence « Go Live », ce qui signifie qu'elle peut déjà être utilisée dans un environnement de production. Pour mémoire, Team Foundation Server est un outil de travail collaboratif accompagnant la suite Visual Studio Team System(VSTS). Il permet la gest...

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  • Web services, J2EE, Spring, DB integration project ideas - maybe data mining related?

    - by saral jain
    I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, J2EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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  • Awesome Integration Of Office In Windows Phone 7[Videos]

    - by Gopinath
    Who else understand Office applications better than Microsoft? Well, not many out there. With the next generation of their mobile OS, Windows Phone 7,  Microsoft seems to be well determined to impress all of us with the awesome integration of Office. Microsoft recently published two demo videos of Office Integration in Windows Phone 7 OS. These videos shows off one of the nice things that we dream to do in a mobile: open a PowerPoint file inline from the email client, edit it, and send it back to the original sender. Other video demonstrates One Note, Word & Outlook with a clean and very intuitive user interface.  Check these two videos   Emails, Events and Schedule Office Hub Join us on Facebook to read all our stories right inside your Facebook news feed.

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  • Jaw Dropping Kinect Integration With Combat Solider Game

    - by Gopinath
    The innovation in natural user interface for interacting with computers and other devices is riding on the brilliance of Microsoft’s XBox Kinect. The amazing technology behind Kinect lets users to plays games without touching game controllers. It enables users to control and interact with XBox 360 games using gestures(body movements) and spoken commands. Earlier we have seen Kinect in controlling Windows 7 PCs, simulating Da Vince application. At Microsoft’s E3 keynote, game publisher Ubisoft demoed Kinect integration with the future version of a Soldier game. The usage of Kinect to change weapons and play the game is jaw dropping. It is tough to explain the experience in words, check out the embedded demo video This article titled,Jaw Dropping Kinect Integration With Combat Solider Game, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • Webcast: Applications Integration Architecture

    - by LuciaC
    Webcast: Applications Integration Architecture - Overview and Best Practices Date:  November 12, 2013.Join us for an Overview and Best Practices live webcast on Applications Integration Architecture (AIA). We are covering following topics in this Webcast : AIA Overview AIA - Where it Stands Pre-Install, Pre-Upgrade Concerns Understanding Dependency Certification Matrix Documentation Information Center Demonstration - How to evaluate certified combination Software Download/Installable Demonstration - edelivery Download Overview Reference Information Q & A (15 Minutes)  We will be holding 2 separate sessions to accommodate different timezones: EMEA / APAC - timezone Session : Tuesday, 12-NOV-2013 at 09:00 UK / 10:00 CET / 14:30 India / 18:00 Japan / 20:00 AEDT Details & Registration : Doc ID 1590146.1 Direct registration link USA - timezone Session : Wednesday, 13-NOV-2013 at 18:00 UK / 19:00 CET / 10:00 PST / 11:00 MST / 13:00 EST Details & Registration : Doc ID 1590147.1 Direct registration link If you have any question about the schedules or if you have a suggestion for an Advisor Webcast to be planned in future, please send an E-Mail to Ruediger Ziegler. Remember that you can access a full listing of all future webcasts as well as replays from Doc ID 740966.1.

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  • Spotlight on RIVA: CRM integration for Oracle CRM on Demand and Microsoft Exchange

    - by Richard Lefebvre
    Introducing Riva from Omni - an Oracle ISV partner specializing in Enterprise Management and Integration Solutions Riva delivers advanced, server-side integration for Oracle CRM On Demand and Microsoft Exchange or even Novell GroupWise. Riva allows Oracle customers to go beyond the standard Outlook plug-in to deliver additional value for the end user as they interact between Outlook and CRM On Demand. Riva syncs CRM On Demand to ALL Exchange mail apps, not just Windows Outlook.  So, whether customers are using Outlook 2010, Outlook Web Access (web client), Outlook 2011 for Mac, Apple Mail, Outlook on Citrix  or a mobile device, Riva's got them covered. There are no plug-ins to be installed, configured, managed and maintained on users' desktops, laptops as Riva delivers Server-side synchronisation for CRMOD and Exchange. The automation of CRM and Outlook integration will remove the reliance upon users to synchronise between the two with Riva handling this process. Riva allows administrators to define sync policies and apply them to individuals or groups of users depending on their sync requirements. Administrators will be able to determine and manage the exposure of the most pertinent detail to be synchronised between Outlook and CRM On Demand. Custom and organic contact filtering for large deployments i.e. Based on ownership, groupings and contact frequency, filters can be applied on what contact records are shared with the users. Riva provides the capability to synchronise CRM and Outlook beyond Contacts, Calendar entries and Email. The synchronisation can be extended to cater for  opportunities, quotes and custom objects for example within the Outlook interface. Riva SmartConvert Folders can automate the creation of opportunities and associated contacts for example if they don't already exist. This can facilitate a reduction in manual detail entry through quick association whilst also benefiting user adoption. From a mobile perspective, Riva allows users to view and manage their CRM On Demand contacts, calendar, tasks, opportunities and cases from iPad, iPhone, Android and BlackBerry devices.  Again, there are no mobile apps or additional plugins to install, configure or manage. We sync CRM On Demand to Exchange.  Because the mobile device is connected to an Exchange mailbox, the information automatically syncs down to the native address book, calendar and mail apps on the smartphone or tablet. Riva Datasheet for CRM On Demand Riva Brochure – Oracle CRM On Demand  Technical Knowledgebase & Riva Trial  http://kb.omni-ts.com/47/ Comparison to Outlook Plug-ins Riva Diagram – Riva Comparison with Outlook Plug-ins Contact: Wolfgang Berger - [email protected]

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  • Web services, Java EE, Spring, DB integration project ideas - maybe data mining related?

    - by saral jain
    I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, Java EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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  • Channel Revenue Management and General Ledger Integration

    - by LuciaC-Oracle
    Back in February of this year, we told you about the EBS Business Process Advisor: CRM Channel Revenue Management document which has detailed information about the Channel Revenue Management application business flow and explains integration points with other applications.  But we thought that you might like to have even more information on exactly how Channel Revenue Management passes data to General Ledger. Take a look at Integration Troubleshooting: Oracle Channel Revenue Management to GL via Subledger Accounting (Doc ID 1604094.2).  This note includes comprehensive information about the data flow between Channel Revenue Management and GL, offers troubleshooting tips and explains some key setups. Let us know what you think - start a discussion in the My Oracle Support Channel Revenue Management Community!

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  • DB Enterprise User Security Integration With Directory Services

    - by Etienne Remillon
    Gain a better understanding of how to integrate Enterprise User Security (EUS) with various Directories by attending this 1 hour Advisor Webcast!  When: July 11, 2012 at 16:00 UK / 17:00 CET / 08:00 am Pacific / 9:00 am Mountain / 11:00 am Eastern Enterprise User Security (EUS) is a DB feature to externalize, and centrally manage DB users in a directory server. The webcast will briefly introduce EUS, followed by a detailed discussion about the various directory options that are supported, including integration with Microsoft Active Directory. We'll conclude how to avoid common pitfalls deploying EUS with directory services. TOPICS WILL INCLUDE: - Understand EUS basics - Understand EUS and directory integration options - Avoid common EUS deployment mistakes Make sure to register and mark this date on your calendar! - Details and registration.

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  • OOW 2012 Tuesday: Hands-On Introduction to Integration and Oracle SOA Suite 11g

    - by Simone Geib
    This year's SOA Suite hands on lab offers three different options, dependant on your level of expertise and interest. If you're new to SOA Suite, you should pick option 1 and learn how to build a SOA composite from the ground up, including a BPEL process, adapters, business rules and human task. The end result will be a purchase order process to be deployed through JDeveloper and tested in Enterprise Manager Fusion Middleware Control. If you're already experienced in SOA Suite, lab option 2 walks you through setting up the components that will allow you to utilize continuous integration with your SOA Suite 11g development projects. For those who want to learn more about security in the context of SOA Suite, option 3 shows you how to secure WebLogic services and SOA composites using Oracle Web Services Manager (OWSM). Hope to see you there! Session ID: HOL9989Session Title: Hands-On Introduction to Integration and Oracle SOA Suite 11gVenue / Room: Marriott Marquis - Salon 3/4Date and Time: 10/2/12, 11:45 - 12:45

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  • web services, J2EE, spring, DB integration project ideas- maybe data mining related?

    - by sj88
    Hey guys, I am a graduate CS student (Data mining and machine learning) and have a good exposure to core JAVA (3 years). I have read up a bunch of stuff on Design patterns J2EE Web services( soap and rest) spring and hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff (over my free time of corse) to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + svn, maven). Any good project ideas would be really appreciated. I just wanna build this stuff to learn so I dont really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus (fits with my research) but absolutly not necesary (since this project is more to learn to do large scale software developement)

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  • Current State EA: Focus on the Integration!!!

    - by Eric A. Stephens
    A recent project has me at the front end of a large implementation effort covering multiple software components. In addition to the challenges of integrating 15-20 separate and new software components there is the challenge of integrating the portfolio into an existing environment. Like other clients I've worked with and other environments I've worked in for many years, this is typical. The applications are undocumented and under patched leading to a mystery for any architect leading change.  We can boil down most architecture development methodologies (ADM) into first understanding the current/baseline state and then envisioning one or more future states. Many pundits emphasize the need to focus on the future/target states. I agree since enterprise architecture (EA) is about where you are going and not so much where you have been. But to be effective in the future, I contend some focused time needs to be spent on the current state. And specifically on the integration. Integration is always the difficult part of a project (I might put it more coarsely at a cocktail party). While I don't have a case study, my anecdotal experience suggests poorly integrated application portfolios tend to cost more to operate and create entropy when trying to respond to new changes and opportunities. In the aforementioned project, I was able to get one of our EAs assigned to focus on just integration almost immediately. While we're still early in the process, this EA is uncovering all sorts of information that will greatly assist our future state planning for this solution. This information is driving early decision making that we anticipate will accelerate our efforts moving forward. #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; }

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  • Data access pattern

    - by andlju
    I need some advice on what kind of pattern(s) I should use for pushing/pulling data into my application. I'm writing a rule-engine that needs to hold quite a large amount of data in-memory in order to be efficient enough. I have some rather conflicting requirements; It is not acceptable for the engine to always have to wait for a full pre-load of all data before it is functional. Only fetching and caching data on-demand will lead to the engine taking too long before it is running quickly enough. An external event can trigger the need for specific parts of the data to be reloaded. Basically, I think I need a combination of pushing and pulling data into the application. A simplified version of my current "pattern" looks like this (in psuedo-C# written in notepad): // This interface is implemented by all classes that needs the data interface IDataSubscriber { void RegisterData(Entity data); } // This interface is implemented by the data access class interface IDataProvider { void EnsureLoaded(Key dataKey); void RegisterSubscriber(IDataSubscriber subscriber); } class MyClassThatNeedsData : IDataSubscriber { IDataProvider _provider; MyClassThatNeedsData(IDataProvider provider) { _provider = provider; _provider.RegisterSubscriber(this); } public void RegisterData(Entity data) { // Save data for later StoreDataInCache(data); } void UseData(Key key) { // Make sure that the data has been stored in cache _provider.EnsureLoaded(key); Entity data = GetDataFromCache(key); } } class MyDataProvider : IDataProvider { List<IDataSubscriber> _subscribers; // Make sure that the data for key has been loaded to all subscribers public void EnsureLoaded(Key key) { if (HasKeyBeenMarkedAsLoaded(key)) return; PublishDataToSubscribers(key); MarkKeyAsLoaded(key); } // Force all subscribers to get a new version of the data for key public void ForceReload(Key key) { PublishDataToSubscribers(key); MarkKeyAsLoaded(key); } void PublishDataToSubscribers(Key key) { Entity data = FetchDataFromStore(key); foreach(var subscriber in _subscribers) { subscriber.RegisterData(data); } } } // This class will be spun off on startup and should make sure that all data is // preloaded as quickly as possible class MyPreloadingThread { IDataProvider _provider; MyPreloadingThread(IDataProvider provider) { _provider = provider; } void RunInBackground() { IEnumerable<Key> allKeys = GetAllKeys(); foreach(var key in allKeys) { _provider.EnsureLoaded(key); } } } I have a feeling though that this is not necessarily the best way of doing this.. Just the fact that explaining it seems to take two pages feels like an indication.. Any ideas? Any patterns out there I should have a look at?

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