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• How To Run integrational Tests

  - by Vladimir

  In our project we have a plenty of Unit Tests. They help to keep project rather well-tested. Besides them we have a set of tests which are unit tests, but depends on some kind of external resource. We call them external tests. They can access web-service sometimes or similar. While unit tests is easy to run the integrational tests couldn't pass sometimes - for example due to timeout error. Also these tests can take too much time to run. Currently we keep integration/external unit tests just to run them when developing corresponding functionality. For plain unit tests we use TeamCIty for continuous integration. How do you run the integration unit tests and when do you run them?

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• Examples of continuous integration workflow using git

  - by Andrew Barinov

  Can anyone provide a rough outline of their git workflow that complies with continuous integration. E.g. How do you branch? Do you fast forward commits to the master branch? I am primarily working with Rails as well as client and server side Javascript. If anyone can recommend a solid CI technology that's compatible with those, that'd be great. I've looked into Jenkins but would like to check out other good alternatives. To put some context into this, I am planning on transitioning from working as a single developer into working as part of the team. I'd like to start standardizing my own personal workflow so that I can onboard new devs quickly.

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• Continuous integration - build Debug and Release every time?

  - by Darian Miller

  Is it standard practice when setting up a Continuous Integration server to build a Debug and Release version of each project? Most of the time developers code with a Debug mode project configuration set enabled and there could be different library path configurations, compiler defines, or other items configured differently between Debug/Release that would cause them to act differently. I configured my CI server to build both Debug & Release of each project and I'm wondering if I'm just overthinking it. My assumption is that I'll do this as long as I can get quick feedback and once that happens, then push the Release off to a nightly build perhaps. Is there a 'standard' way of approaching this?

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• Open Source Bulletin Board with Facebook Group Integration

  - by Brian

  I'm working on a an open-source community-oriented project which needs a highly social component where users can post discussion topics and questions and interact with each other. It would be ideal to facilitate discussion seamlessly between a bulletin board and Facebook. Has anyone seen such an integration? I'm talking about something that goes beyond a simple FB OAuth and actually synchronizes both forum posts / topics / OAuth / comments. Pretty please if a moderator is going to delete this tell me which StackExchange forum is the appropriate place for posting such an inquiry. :)

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• Continuous integration testing server: hosted, own desktop, or own server

  - by Victor

  For testing, I am planning to run a continuous integration testing. There are mainly two options: hosted, or own desktop/server. I will break it into 3 options I have: Hosted: Economical, $10-20/month for a small app Less setup, the CI company manage all hardware and software Desktop: I could just buy a simple, cheap desktop as a test server (about $500). Used server: My current office is offloading some old Dell rack server (Probably dual core Xeon, which I can purchase for $50 or less Please advise me which best serves me for a small team of 2-3 developers. Thanks.

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• Continuous integration (with iOS and Android projects)

  - by paxx

  I'm trying to make some positive changes in my company and one of the changes is implementing continuous integration. We do mobile development (iOS/Android) so I need a CI that supports both types of projects. As you can tell I don't know a lot about CI but I've googled a little bit and I think that Jenkins and Hudson are the two most popular. I have a two part questions. Your thought on Jenkins and Hudson? Is there a way for CI to check if the project is compiling to the coding standards (like loose coupling and so on)?

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• Oracle UCM Integration with WebCenter

  - by john.brunswick

  Portal deployments always contain some level of content that requires management. Like peanut butter and jelly, the ying and yang, they are inseparable. Unfortunately, unlike peanut butter and jelly content and portals usually require that an extensive amount of work be completed to create a seamless experience for end users who will be serviced by the portal, as well as for users who will be contributing and managing the content. With WebCenter Suite Oracle has understood this need and addressed it by including Universal Content Management (UCM, formerly Stellent) licensing to allow content to be delivered into the portal from a mature, class-leading content management technology. To unlock the most value from this content technology, WebCenter portal technology can leverage a series of integration strategies available through its open standards support, as well as a series of native components to enable content consumption from UCM. This have been done to enable IT teams to reduce solution deployment time and provide quick wins to their business stakeholders. The ongoing cost of ownership for the solution is also greatly reduced through these various integrations. Within this post we will explore various ways in which the content can be Contributed through out of the box interfaces Displayed natively within the portal (configuration) Exposed programmatically (development) The information below showcases how to quickly take advantage of WebCenter's marriage of content and portal technologies, then leverage various programmatic integrations available with UCM.

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• CRM@Oracle Series: Web Marketing Integration

  - by tony.berk

  Who is visiting your website? How did they get there? Was it from a search engine? Email campaign? Are they downloading whitepapers, datasheets, presentations, software? Are they interested in attending one of your marketing events? Are you capturing these leads or which marketing campaign generated the lead? There are a lot of questions related to traffic on a website, and the answers to those questions can be found in your CRM system. Visitors who download marketing collateral are potential leads, so it is important to capture who they are, how they got there, where they went on the website and what they are looking for. Today's CRM@Oracle slidecast discusses how Oracle uses Siebel CRM to plan and execute marketing campaigns on our website, www.oracle.com, and capture the key information about who is downloading content or interested in attending one of our marketing events. The responses are captured, qualified, and if appropriate, a lead is generated. It all happens in Siebel CRM. CRM@Oracle Series: Web Marketing Integration Click here to learn more about Oracle CRM products and here to learn about other customers using Oracle CRM. Are you enjoying the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, leave us a comment and we'll try to get it on our list.

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• Continuous Integration using Docker

  - by Leon Mergen

  One of the main advantages of Docker is the isolated environment it brings, and I want to leverage that advantage in my continuous integration workflow. A "normal" CI workflow goes something like this: Poll repository for changes Pull from repository Install dependencies Run tests In a Dockerized workflow, it would be something like this: Poll repository for changes Pull from repository Build docker image Run docker image as container Run tests Kill docker container My problem is with the "run tests" step: since Docker is an isolated environment, intuitively I would like to treat it as one; this means the preferred method of communication are sockets. However, this only works well in certain situations (a webapp, for example). When testing different kind of services (for example, a background service that only communicated with a database), a different approach would be required. What is the best way to approach this problem? Is it a problem with my application's design, and should I design it in a more TDD, service-oriented way that always listens on some socket? Or should I just give up on isolation, and do something like this: Poll repository for changes Pull from repository Build docker image Run docker image as container Open SSH session into container Run tests Kill docker container SSH'ing into the container seems like an ugly solution to me, since it requires deep knowledge of the contents of the container, and thus break the isolation. I would love to hear SO's different approaches to this problem.

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• What is the best Java numerical method package?

  - by Bob Cross

  I am looking for a Java-based numerical method package that provides functionality including: Solving systems of equations using different numerical analysis algorithms. Matrix methods (e.g., inversion). Spline approximations. Probability distributions and statistical methods. In this case, "best" is defined as a package with a mature and usable API, solid performance and numerical accuracy. Edit: derick van brought up a good point in that cost is a factor. I am heavily biased in favor of free packages but others may have a different emphasis.

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• “Cloud Integration in Minutes” – True or False?

  - by Bruce Tierney

  The short answer is “yes”. Connecting on-premise and cloud applications “in minutes” is true…provided you only consider the connectivity subset of integration and have a small number of cloud integration touch points. At the recent Gartner AADI conference, 230 attendees filled up the Oracle session to get a more comprehensive answer to this question. During the session, titled “Simplifying Integration – The Cloud & Mobile Pre-requisite”, Oracle’s Tim Hall described cloud connectivity and then, equally importantly, the other essential and sometimes overlooked aspects of integration required to ensure a long term application and service integration strategy. To understand the challenges and opportunities faced by cloud integration, the session started off with a slide that describes how connectivity can quickly transition from simplicity to complexity as the number of applications and service vendor instances grows: Increased complexity puts increased demand on the integration platform As companies expand from on-premise applications into a hybrid on-premise/cloud infrastructure with support for mobile, cloud, and social, there is a new sense of urgency to implement a unified and comprehensive service integration platform. Without getting this unified platform in place, companies face increased complexity and cost managing a growing patchwork of niche integration toolsets as well as the disparate standards mandated by each SaaS vendor as shown in the image below: dddddddddddddddddddd Incomplete and overlapping offerings from a patchwork of niche vendors Also at Gartner AADI, Oracle SOA Suite customer Geeta Pyne, Director of Middleware at BMC presented their successful strategy on how BMC efficiently manages their cloud integration despite disparate requirements from each vendor. From one of Geeta’s slide: Interfaces are dictated by SaaS vendors; wide variety (SOAP, REST, Socket, HTTP/POX, SFTP); Flexibility of Oracle Service Bus/SOA Suite helps to support Every vendor has their way to handle Security; WS-Security, Custom Header; Support in Oracle Service Bus helps to adhere to disparate requirements At BMC, the flexibility of Oracle Service Bus and Oracle SOA Suite allowed them to support the wide variation in the functional requirements as mandated by their SaaS vendors. In contrast to the patchwork platform approach of escalating complexity from overlapping SaaS toolkits, Oracle’s strategy is to provide a unified platform to support disparate requirements from your SaaS vendors, on-premise apps, legacy apps, and more. Furthermore, Oracle SOA Suite includes the many aspects of comprehensive integration beyond basic connectivity including orchestration, analytics (BAM, events…), service virtualization and more in a single unified interface. Oracle SOA Suite – Unified and comprehensive To summarize, yes you can achieve “cloud integration in minutes” when considering the connectivity subset of integration but be sure to look for ways to simplify as you consider a more comprehensive view of integration beyond basic connectivity such as service virtualization, management, event processing and more. And finally, be sure your integration platform has the deep flexibility to handle the requirements of all your future SaaS applications…many of which are unknown to you now.

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• Oracle Business Intelligence integration with Oracle Open Office

  - by Harald Behnke

  A highlight of the latest Oracle Office product launches are the first Oracle application connectors introduced with Oracle Open Office 3.3. The Oracle Open Office Connector for Oracle Business Intelligence perfectly demonstrates the advantages of enterprise and office productivity software engineered to work together. The connector enables you to access and run Oracle Business Intelligence Enterprise Edition requests directly within Oracle Open Office. The refreshable requests leverage not only native Open Office functionality but also the scalability and performance of the Oracle Oracle Business Intelligence server (R10.x). The requests reference a single source of information as defined in the Oracle Business Intelligence server data thus ensuring consistent information across the enterprise. See how it works in the demo video: Beyond the dramatic license cost savings for Oracle Business Intelligence customers using Oracle Open Office, the joint engineering efforts result in usability and efficiency benefits not available with Microsoft Office: Import styles and conditional formats defined in Business Intelligence answersApply customized styles, direct or conditional formats to Oracle Business Intelligence data - all changes are preserved during refreshChange chart properties for Oracle Open Office charts - all changes are preserved during refresh Read more about the Oracle Open Office enterprise features.

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• Continuous integration never results in build errors

  - by Jon

  Hi, I'm working with a variety of Java EE websites which use internal libraries we've developed. For each website, we only upgrade to new versions of our internal libraries as needed, and before committing we make sure that the site compiles fine. What this means is that when TeamCity does a build of one of our sites, the site compiles fine, but later when the site is updated to the latest version of internal libraries, there might be a compile error. Is there a good way to handle this? We're not using Maven yet; would using Maven mean that our websites could automatically use the latest version of internal libraries? Thanks. Clarification: What we sometimes run into is this: Project A depends on a library, and is currently using library version 1.0 Project B also depends on that library. I make changes to the library so that it is now version 1.5. Project B now uses 1.5. Project A and project B have both been built just fine by the CI server (TeamCity) Working on project A again, I update to 1.5 and discover that 1.5 has breaking changes in it. Is there a way for the CI server to discover these kinds of breaking changes?

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• Any way to separate unit tests from integration tests in VS2008?

  - by AngryHacker

  I have a project full of tests, unit and integration alike. Integration tests require that a pretty large database be present, so it's difficult to make it a part of the build process simply because of the time that it takes to re-initialize the database. Is there a way to somehow separate unit tests from integration tests and have the build server just run the unit tests? I see that there is an Ordered Unit test in VS2008, which allows you to pick and choose tests, but I can't make it just execute alone, without all the others. Is there a trick that I am missing? Or perhaps I could adorn the unit tests with an attribute? What are some of the approaches people are using? P.S. I know I could use mocking for integration tests (just to make them go faster) but then it wouldn't be a true integration test.

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• Improper integral calculation using numerical intergration

  - by Andrei Taptunov

  I'm interested in calculation of Improper Integral for a function. Particularly it's a Gauss Integral. Using a numerical integration does make sense for a definite integrals but how should I deal with improper integrals ? Is there any was to extrapolate the function "around" negative infinity or should I just remove this part and start integration from some particular value because cumulative sum near "negative infinity" is almost non-existent for Gauss integral? Perhaps there are some algorithms that I'm not aware about.

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• Numerical Integration of a vector in matlab?

  - by clowny

  Hello all! Well i have an issue. I have a vector of 358 numbers. I'd like to make a numerical integration of this vector, but i don't know the function of this one. I found that we can use trapz or quad, but i don't really understand how to integrate without the function. Thanx for any help!

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• How to Audit and Monitor BI Publisher Reports Access?

  - by kanichiro.nishida

  Do you know who is accessing to which report at what time at your reporting environment ? As you delivered the BI Publisher reports to the production environment and your users start using them as part of their daily business operations you might wonder such questions. With compliance becoming an integral part of any business requirement, auditing your reporting environment is also becoming one of the most critical and hot agenda in today’s enterprise reporting deployments. Also, I believe that auditing the reporting environment is not just for the compliance, but also the way to understand how your users are using the reports and be able to improve the user reporting experience. BI Publisher have introduced Enterprise Level Auditing feature with its 11G release, with an integration of Oracle Fusion Middleware Audit Framework, which comes out of the box with the installation. Yes, this is another great example of the benefit of its tight integration with Fusion Middleware introduced with BI Publisher 11g release. What Information Can I Know about our Reporting Environment? With this new Auditing feature you can now gain the following insights. When a particular user login or logout What report is accessed by who and when and how How long does it take to process a particular report Yes, it’s all there. This is a great news for 10G users, right ? I used to be one of them working with many different IT organizations and were craving for this, but it’s here now with 11G! How Can I Access to the Auditing Information? With the Fusion Middleware Auditing Framework, BI Publisher feed such information either to a log file or to a database. If you decided to get the data into the database then, of course you know, you can use BI Publisher to report and publish, or visualize the data to gain more insights. One thing though, in order to feed the data it requires a few extra steps, which I’ll cover it later.  Regardless of whether it’s the log file or the database to store the Auditing data, first, you need to enable the Auditing feature, which is not enabled as default. So, let’s take a look at how to enable it. How to Enable Auditing Feature? Here is a quick list of the steps: Enable Auditing related properties in BI Publisher configuration file Copy component_events.xml file to Fusion Middleware Audit Framework’s location Enable Auditing Policy with Fusion Middleware Control (Enterprise Manager) Restart WebLogic Server Enable Auditing related properties in BI Publisher configuration file Open xmlp-server-config.xml file, which is located under $BI_HOME/ user_projects/domains/bifoundation_domain/config/bipublisher/repository/Admin/Configuration directory. Set the following three properties values to ‘true’. AUDIT_ENABLED MONITORING_ENABLED AUDIT_JPS_INTEGRATION The ‘AUDIT_JPS_INTEGRATION’ is not in the file as default, so you need to add this. Here is an example of how it looks for the xmlp-server-config.xml file after the modification. <?xml version="1.0" encoding="UTF-8" standalone="no"?><xmlpConfigxmlns="http://xmlns.oracle.com/oxp/xmlp"> <property name="SAW_SERVER" value="adc6160510"/> <property name="SAW_SESSION_TIMEOUT" value="90"/> <property name="DEBUG_LEVEL" value="exception"/> <property name="SAW_PORT" value="7001"/> <property name="SAW_PASSWORD" value=""/> <property name="SAW_PROTOCOL" value="http"/> <property name="SAW_VERSION" value="v6"/> <property name="SAW_USERNAME" value=""/> <property name="SAW_URL_SUFFIX" value="analytics/saw.dll"/> <property name="MONITORING_ENABLED" value="true"/> <property name="MONITORING_DEFAULT_HISTORY_SIZE" value="30"/> <property name="AUDIT_ENABLED" value="true"/> <property name="JSESSION_RESET_DISABLED" value="true"/> <property name="SECURITY_MODEL" value="ORACLE_AS_JPS"/> <property name="AUDIT_JPS_INTEGRATION" value="true"/> </xmlpConfig>   Copy component_events.xml file to Audit Framework’s location There is a Audit related configuration file provided by BI Publisher that needs to be copied to the Audit Framework location. 1. Go to the following directory. $BI_HOME /oracle_common/modules/oracle.iau_11.1.1/components 2. Create a directory called ‘xmlpserver’ 3. Copy component_events.xml file from /user_projects/domains/bifoundation_domain/config/bipublisher/repository/Admin/Audit To the newly created ‘xmlpserver’ directory. Enable Auditing Policy with Fusion Middleware Control (EM) Now you can set a level of the auditing for each BI Publisher’s auditing type by using Fusion Middleware Control (a.k.a. Enterprise Manager). 1. Login to Fusion Middleware Control UI http://hostname:port/em (e.g. reporting.oracle.com:7001/em) 2. Access to Audit Policy configuration UI from the menu Under WebLogic Domain, right-click bifoundation_domain, select Security and then click Audit Policy.   3. Set Audit Level for BI Publisher. While you can select ‘Custom’ to set a customized level of Auditing for each component, I’m selecting ‘Medium’ for this exercise.   Restart WebLogic Server After all the above settings, now you need to restart the WebLogic Server instance in order to take those changes in effect. If you’re on Windows you can simply do this by selecting ‘Stop BI Servers’ and ‘Start BI Servers’ from the Start menu. If you’re on Linux then you can run ‘stopWebLogic.sh’ and ‘startWebLogic.sh’, which can be found under $BI_HOME/user_projects/domains/bifoundation_domain/bin Start Auditing! Now assuming that you have completed the above steps successfully, then from this point on any reporting activity should be audited and stored in the auditing log file, which can be found at $BI_HOME/user_projects/domains/bifoundation_domain/servers/AdminServer/logs/auditlogs/xmlpserver/audit.log And here is a sample of the log file: 2011-02-18 02:25:49.928 "" "ReportRendering" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000022,0" - - - - "bipublisher(11.1.1)" "ReportExecution" "200" "" "/Sample Lite/Published Reporting/Reports/Balance Letter.xdo" "pdf" "RTF Corp Styles" "en_US" - - - - - - - - - - - - - - 86608512 486989824 24517 169 - - - 2011-02-18 02:25:49.929 "steve.jobs" "ReportRequest" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000022,0" - - - - "bipublisher(11.1.1)" "ReportAccess" "200" "" "" "pdf" "RTF Corp Styles" - - - true - - - - - - - - - - - - - - - - - - 2011-02-18 03:25:49.554 "" "ReportDataProcess" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000022,0" - - - - "bipublisher(11.1.1)" "ReportExecution" "260" "" "/Sample Lite/Published Reporting/Reports/Balance Letter.xdo" - - - - - - - - - - - - - - - - - 34980200 554033152 - 134 - - - 2011-02-18 03:25:50.282 "" "ReportRendering" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000022,0" - - - - "bipublisher(11.1.1)" "ReportExecution" "263" "" "/Sample Lite/Published Reporting/Reports/Balance Letter.xdo" "pdf" "RTF Corp Styles" "en_US" - - - - - - - - - - - - - - 16158944 554033152 24517 503 - - - 2011-02-18 03:25:50.282 "steve.jobs" "ReportRequest" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000022,0" - - - - "bipublisher(11.1.1)" "ReportAccess" "263" "" "" "pdf" "RTF Corp Styles" - - - true - - - - - - - - - - - - - - - - - - 2011-02-18 03:30:00.448 "barack.obama" "UserLogin" true - "82d4bdc47b99b33c:-7e3f334f:12e365c4d9c:-8000-0000000000000406,0" - - - - "bipublisher(11.1.1)" "UserSession" "26" "" - - - - - - - - - - - - - - - - - - - - - - - - - From the above log file you can tell a user ‘steve.jobs’ was running some reports like ‘Balance Letter’ around afternoon on 2/18 and another user ‘barack.obama’ logged into the system at 3:30 on the same day. Yes, every login and log out will be recorded, and every report access will be recorded in this log file. Now, looking at this text file to understand what’s going on is pretty overwhelming. And accessing to this log file, which is located at the server’s file system where the BI Publisher/WebLogic Server are running, is another challenge in typical deployment scenarios. And that’s where the database storage option for the Auditing data  comes into a picture. I’ll talk about this tomorrow, so stay tuned!  

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• Oracle Enterprise Content Management 11gR1 Patch Set 3 Released

  - by michelle.huff

  We're pleased to announce an updated patch set for Oracle Enterprise Content Management 11gR1 PS3 (11.1.1.4.0). Patch Set 3 (PS3) supports additional platforms and applications, and adds several new features to the products. Highlights include: Content Server (repository for UCM, URM & I/PM): New security capabilities, file store provider updates. Desktop Integration Suite: Windows 7 64-bit and Office 2010 (32 & 64-bit) support and new "Recent Content Items" menu. Universal Content Management (UCM): Site Studio Manager for Site Studio for External Applications, new template management options and ability to run Site Studio & Site Studio for External Applications 11g components on Content Server 10gR3. Imaging and Process Management (I/PM): Now certified with Oracle Business Process Management (BPM) 11g, Oracle Single Sign On (OSSO) 10g and Oracle Access Manager (OAM) 10g, export search results to Microsoft Excel. ECM Adapter for PeopleSoft: Support for UCM 11g Managed Attachments (support for 10g released earlier in 2010) and certification with PeopleTools 8.50. Information Rights Management (IRM): Desktop support for Microsoft Office 2010, Adobe Reader X and Microsoft SharePoint 2010. Customer Webcast We'll be covering this new release in our Quarterly Customer Update Webcast scheduled for this week, January 19/20, 2011. Register today. More Information Downloads now available on Oracle Technology Network (OTN) - it will be available via eDelivery soon. Read the updated ECM documentation for 11.1.1.4.0 Review the ECM 11.1.1.4.0 Upgrade & Patch Guides See the Release Notes

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• A Taxonomy of Numerical Methods v1

  - by JoshReuben

  Numerical Analysis – When, What, (but not how) Once you understand the Math & know C++, Numerical Methods are basically blocks of iterative & conditional math code. I found the real trick was seeing the forest for the trees – knowing which method to use for which situation. Its pretty easy to get lost in the details – so I’ve tried to organize these methods in a way that I can quickly look this up. I’ve included links to detailed explanations and to C++ code examples. I’ve tried to classify Numerical methods in the following broad categories: Solving Systems of Linear Equations Solving Non-Linear Equations Iteratively Interpolation Curve Fitting Optimization Numerical Differentiation & Integration Solving ODEs Boundary Problems Solving EigenValue problems Enjoy – I did ! Solving Systems of Linear Equations Overview Solve sets of algebraic equations with x unknowns The set is commonly in matrix form Gauss-Jordan Elimination http://en.wikipedia.org/wiki/Gauss%E2%80%93Jordan_elimination C++: http://www.codekeep.net/snippets/623f1923-e03c-4636-8c92-c9dc7aa0d3c0.aspx Produces solution of the equations & the coefficient matrix Efficient, stable 2 steps: · Forward Elimination – matrix decomposition: reduce set to triangular form (0s below the diagonal) or row echelon form. If degenerate, then there is no solution · Backward Elimination –write the original matrix as the product of ints inverse matrix & its reduced row-echelon matrix à reduce set to row canonical form & use back-substitution to find the solution to the set Elementary ops for matrix decomposition: · Row multiplication · Row switching · Add multiples of rows to other rows Use pivoting to ensure rows are ordered for achieving triangular form LU Decomposition http://en.wikipedia.org/wiki/LU_decomposition C++: http://ganeshtiwaridotcomdotnp.blogspot.co.il/2009/12/c-c-code-lu-decomposition-for-solving.html Represent the matrix as a product of lower & upper triangular matrices A modified version of GJ Elimination Advantage – can easily apply forward & backward elimination to solve triangular matrices Techniques: · Doolittle Method – sets the L matrix diagonal to unity · Crout Method - sets the U matrix diagonal to unity Note: both the L & U matrices share the same unity diagonal & can be stored compactly in the same matrix Gauss-Seidel Iteration http://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method C++: http://www.nr.com/forum/showthread.php?t=722 Transform the linear set of equations into a single equation & then use numerical integration (as integration formulas have Sums, it is implemented iteratively). an optimization of Gauss-Jacobi: 1.5 times faster, requires 0.25 iterations to achieve the same tolerance Solving Non-Linear Equations Iteratively find roots of polynomials – there may be 0, 1 or n solutions for an n order polynomial use iterative techniques Iterative methods · used when there are no known analytical techniques · Requires set functions to be continuous & differentiable · Requires an initial seed value – choice is critical to convergence à conduct multiple runs with different starting points & then select best result · Systematic - iterate until diminishing returns, tolerance or max iteration conditions are met · bracketing techniques will always yield convergent solutions, non-bracketing methods may fail to converge Incremental method if a nonlinear function has opposite signs at 2 ends of a small interval x1 & x2, then there is likely to be a solution in their interval – solutions are detected by evaluating a function over interval steps, for a change in sign, adjusting the step size dynamically. Limitations – can miss closely spaced solutions in large intervals, cannot detect degenerate (coinciding) solutions, limited to functions that cross the x-axis, gives false positives for singularities Fixed point method http://en.wikipedia.org/wiki/Fixed-point_iteration C++: http://books.google.co.il/books?id=weYj75E_t6MC&pg=PA79&lpg=PA79&dq=fixed+point+method++c%2B%2B&source=bl&ots=LQ-5P_taoC&sig=lENUUIYBK53tZtTwNfHLy5PEWDk&hl=en&sa=X&ei=wezDUPW1J5DptQaMsIHQCw&redir_esc=y#v=onepage&q=fixed%20point%20method%20%20c%2B%2B&f=false Algebraically rearrange a solution to isolate a variable then apply incremental method Bisection method http://en.wikipedia.org/wiki/Bisection_method C++: http://numericalcomputing.wordpress.com/category/algorithms/ Bracketed - Select an initial interval, keep bisecting it ad midpoint into sub-intervals and then apply incremental method on smaller & smaller intervals – zoom in Adv: unaffected by function gradient à reliable Disadv: slow convergence False Position Method http://en.wikipedia.org/wiki/False_position_method C++: http://www.dreamincode.net/forums/topic/126100-bisection-and-false-position-methods/ Bracketed - Select an initial interval , & use the relative value of function at interval end points to select next sub-intervals (estimate how far between the end points the solution might be & subdivide based on this) Newton-Raphson method http://en.wikipedia.org/wiki/Newton's_method C++: http://www-users.cselabs.umn.edu/classes/Summer-2012/csci1113/index.php?page=./newt3 Also known as Newton's method Convenient, efficient Not bracketed – only a single initial guess is required to start iteration – requires an analytical expression for the first derivative of the function as input. Evaluates the function & its derivative at each step. Can be extended to the Newton MutiRoot method for solving multiple roots Can be easily applied to an of n-coupled set of non-linear equations – conduct a Taylor Series expansion of a function, dropping terms of order n, rewrite as a Jacobian matrix of PDs & convert to simultaneous linear equations !!! Secant Method http://en.wikipedia.org/wiki/Secant_method C++: http://forum.vcoderz.com/showthread.php?p=205230 Unlike N-R, can estimate first derivative from an initial interval (does not require root to be bracketed) instead of inputting it Since derivative is approximated, may converge slower. Is fast in practice as it does not have to evaluate the derivative at each step. Similar implementation to False Positive method Birge-Vieta Method http://mat.iitm.ac.in/home/sryedida/public_html/caimna/transcendental/polynomial%20methods/bv%20method.html C++: http://books.google.co.il/books?id=cL1boM2uyQwC&pg=SA3-PA51&lpg=SA3-PA51&dq=Birge-Vieta+Method+c%2B%2B&source=bl&ots=QZmnDTK3rC&sig=BPNcHHbpR_DKVoZXrLi4nVXD-gg&hl=en&sa=X&ei=R-_DUK2iNIjzsgbE5ID4Dg&redir_esc=y#v=onepage&q=Birge-Vieta%20Method%20c%2B%2B&f=false combines Horner's method of polynomial evaluation (transforming into lesser degree polynomials that are more computationally efficient to process) with Newton-Raphson to provide a computational speed-up Interpolation Overview Construct new data points for as close as possible fit within range of a discrete set of known points (that were obtained via sampling, experimentation) Use Taylor Series Expansion of a function f(x) around a specific value for x Linear Interpolation http://en.wikipedia.org/wiki/Linear_interpolation C++: http://www.hamaluik.com/?p=289 Straight line between 2 points à concatenate interpolants between each pair of data points Bilinear Interpolation http://en.wikipedia.org/wiki/Bilinear_interpolation C++: http://supercomputingblog.com/graphics/coding-bilinear-interpolation/2/ Extension of the linear function for interpolating functions of 2 variables – perform linear interpolation first in 1 direction, then in another. Used in image processing – e.g. texture mapping filter. Uses 4 vertices to interpolate a value within a unit cell. Lagrange Interpolation http://en.wikipedia.org/wiki/Lagrange_polynomial C++: http://www.codecogs.com/code/maths/approximation/interpolation/lagrange.php For polynomials Requires recomputation for all terms for each distinct x value – can only be applied for small number of nodes Numerically unstable Barycentric Interpolation http://epubs.siam.org/doi/pdf/10.1137/S0036144502417715 C++: http://www.gamedev.net/topic/621445-barycentric-coordinates-c-code-check/ Rearrange the terms in the equation of the Legrange interpolation by defining weight functions that are independent of the interpolated value of x Newton Divided Difference Interpolation http://en.wikipedia.org/wiki/Newton_polynomial C++: http://jee-appy.blogspot.co.il/2011/12/newton-divided-difference-interpolation.html Hermite Divided Differences: Interpolation polynomial approximation for a given set of data points in the NR form - divided differences are used to approximately calculate the various differences. For a given set of 3 data points , fit a quadratic interpolant through the data Bracketed functions allow Newton divided differences to be calculated recursively Difference table Cubic Spline Interpolation http://en.wikipedia.org/wiki/Spline_interpolation C++: https://www.marcusbannerman.co.uk/index.php/home/latestarticles/42-articles/96-cubic-spline-class.html Spline is a piecewise polynomial Provides smoothness – for interpolations with significantly varying data Use weighted coefficients to bend the function to be smooth & its 1st & 2nd derivatives are continuous through the edge points in the interval Curve Fitting A generalization of interpolating whereby given data points may contain noise à the curve does not necessarily pass through all the points Least Squares Fit http://en.wikipedia.org/wiki/Least_squares C++: http://www.ccas.ru/mmes/educat/lab04k/02/least-squares.c Residual – difference between observed value & expected value Model function is often chosen as a linear combination of the specified functions Determines: A) The model instance in which the sum of squared residuals has the least value B) param values for which model best fits data Straight Line Fit Linear correlation between independent variable and dependent variable Linear Regression http://en.wikipedia.org/wiki/Linear_regression C++: http://www.oocities.org/david_swaim/cpp/linregc.htm Special case of statistically exact extrapolation Leverage least squares Given a basis function, the sum of the residuals is determined and the corresponding gradient equation is expressed as a set of normal linear equations in matrix form that can be solved (e.g. using LU Decomposition) Can be weighted - Drop the assumption that all errors have the same significance –-> confidence of accuracy is different for each data point. Fit the function closer to points with higher weights Polynomial Fit - use a polynomial basis function Moving Average http://en.wikipedia.org/wiki/Moving_average C++: http://www.codeproject.com/Articles/17860/A-Simple-Moving-Average-Algorithm Used for smoothing (cancel fluctuations to highlight longer-term trends & cycles), time series data analysis, signal processing filters Replace each data point with average of neighbors. Can be simple (SMA), weighted (WMA), exponential (EMA). Lags behind latest data points – extra weight can be given to more recent data points. Weights can decrease arithmetically or exponentially according to distance from point. Parameters: smoothing factor, period, weight basis Optimization Overview Given function with multiple variables, find Min (or max by minimizing –f(x)) Iterative approach Efficient, but not necessarily reliable Conditions: noisy data, constraints, non-linear models Detection via sign of first derivative - Derivative of saddle points will be 0 Local minima Bisection method Similar method for finding a root for a non-linear equation Start with an interval that contains a minimum Golden Search method http://en.wikipedia.org/wiki/Golden_section_search C++: http://www.codecogs.com/code/maths/optimization/golden.php Bisect intervals according to golden ratio 0.618.. Achieves reduction by evaluating a single function instead of 2 Newton-Raphson Method Brent method http://en.wikipedia.org/wiki/Brent's_method C++: http://people.sc.fsu.edu/~jburkardt/cpp_src/brent/brent.cpp Based on quadratic or parabolic interpolation – if the function is smooth & parabolic near to the minimum, then a parabola fitted through any 3 points should approximate the minima – fails when the 3 points are collinear , in which case the denominator is 0 Simplex Method http://en.wikipedia.org/wiki/Simplex_algorithm C++: http://www.codeguru.com/cpp/article.php/c17505/Simplex-Optimization-Algorithm-and-Implemetation-in-C-Programming.htm Find the global minima of any multi-variable function Direct search – no derivatives required At each step it maintains a non-degenerative simplex – a convex hull of n+1 vertices. Obtains the minimum for a function with n variables by evaluating the function at n-1 points, iteratively replacing the point of worst result with the point of best result, shrinking the multidimensional simplex around the best point. Point replacement involves expanding & contracting the simplex near the worst value point to determine a better replacement point Oscillation can be avoided by choosing the 2nd worst result Restart if it gets stuck Parameters: contraction & expansion factors Simulated Annealing http://en.wikipedia.org/wiki/Simulated_annealing C++: http://code.google.com/p/cppsimulatedannealing/ Analogy to heating & cooling metal to strengthen its structure Stochastic method – apply random permutation search for global minima - Avoid entrapment in local minima via hill climbing Heating schedule - Annealing schedule params: temperature, iterations at each temp, temperature delta Cooling schedule – can be linear, step-wise or exponential Differential Evolution http://en.wikipedia.org/wiki/Differential_evolution C++: http://www.amichel.com/de/doc/html/ More advanced stochastic methods analogous to biological processes: Genetic algorithms, evolution strategies Parallel direct search method against multiple discrete or continuous variables Initial population of variable vectors chosen randomly – if weighted difference vector of 2 vectors yields a lower objective function value then it replaces the comparison vector Many params: #parents, #variables, step size, crossover constant etc Convergence is slow – many more function evaluations than simulated annealing Numerical Differentiation Overview 2 approaches to finite difference methods: · A) approximate function via polynomial interpolation then differentiate · B) Taylor series approximation – additionally provides error estimate Finite Difference methods http://en.wikipedia.org/wiki/Finite_difference_method C++: http://www.wpi.edu/Pubs/ETD/Available/etd-051807-164436/unrestricted/EAMPADU.pdf Find differences between high order derivative values - Approximate differential equations by finite differences at evenly spaced data points Based on forward & backward Taylor series expansion of f(x) about x plus or minus multiples of delta h. Forward / backward difference - the sums of the series contains even derivatives and the difference of the series contains odd derivatives – coupled equations that can be solved. Provide an approximation of the derivative within a O(h^2) accuracy There is also central difference & extended central difference which has a O(h^4) accuracy Richardson Extrapolation http://en.wikipedia.org/wiki/Richardson_extrapolation C++: http://mathscoding.blogspot.co.il/2012/02/introduction-richardson-extrapolation.html A sequence acceleration method applied to finite differences Fast convergence, high accuracy O(h^4) Derivatives via Interpolation Cannot apply Finite Difference method to discrete data points at uneven intervals – so need to approximate the derivative of f(x) using the derivative of the interpolant via 3 point Lagrange Interpolation Note: the higher the order of the derivative, the lower the approximation precision Numerical Integration Estimate finite & infinite integrals of functions More accurate procedure than numerical differentiation Use when it is not possible to obtain an integral of a function analytically or when the function is not given, only the data points are Newton Cotes Methods http://en.wikipedia.org/wiki/Newton%E2%80%93Cotes_formulas C++: http://www.siafoo.net/snippet/324 For equally spaced data points Computationally easy – based on local interpolation of n rectangular strip areas that is piecewise fitted to a polynomial to get the sum total area Evaluate the integrand at n+1 evenly spaced points – approximate definite integral by Sum Weights are derived from Lagrange Basis polynomials Leverage Trapezoidal Rule for default 2nd formulas, Simpson 1/3 Rule for substituting 3 point formulas, Simpson 3/8 Rule for 4 point formulas. For 4 point formulas use Bodes Rule. Higher orders obtain more accurate results Trapezoidal Rule uses simple area, Simpsons Rule replaces the integrand f(x) with a quadratic polynomial p(x) that uses the same values as f(x) for its end points, but adds a midpoint Romberg Integration http://en.wikipedia.org/wiki/Romberg's_method C++: http://code.google.com/p/romberg-integration/downloads/detail?name=romberg.cpp&can=2&q= Combines trapezoidal rule with Richardson Extrapolation Evaluates the integrand at equally spaced points The integrand must have continuous derivatives Each R(n,m) extrapolation uses a higher order integrand polynomial replacement rule (zeroth starts with trapezoidal) à a lower triangular matrix set of equation coefficients where the bottom right term has the most accurate approximation. The process continues until the difference between 2 successive diagonal terms becomes sufficiently small. Gaussian Quadrature http://en.wikipedia.org/wiki/Gaussian_quadrature C++: http://www.alglib.net/integration/gaussianquadratures.php Data points are chosen to yield best possible accuracy – requires fewer evaluations Ability to handle singularities, functions that are difficult to evaluate The integrand can include a weighting function determined by a set of orthogonal polynomials. Points & weights are selected so that the integrand yields the exact integral if f(x) is a polynomial of degree <= 2n+1 Techniques (basically different weighting functions): · Gauss-Legendre Integration w(x)=1 · Gauss-Laguerre Integration w(x)=e^-x · Gauss-Hermite Integration w(x)=e^-x^2 · Gauss-Chebyshev Integration w(x)= 1 / Sqrt(1-x^2) Solving ODEs Use when high order differential equations cannot be solved analytically Evaluated under boundary conditions RK for systems – a high order differential equation can always be transformed into a coupled first order system of equations Euler method http://en.wikipedia.org/wiki/Euler_method C++: http://rosettacode.org/wiki/Euler_method First order Runge–Kutta method. Simple recursive method – given an initial value, calculate derivative deltas. Unstable & not very accurate (O(h) error) – not used in practice A first-order method - the local error (truncation error per step) is proportional to the square of the step size, and the global error (error at a given time) is proportional to the step size In evolving solution between data points xn & xn+1, only evaluates derivatives at beginning of interval xn à asymmetric at boundaries Higher order Runge Kutta http://en.wikipedia.org/wiki/Runge%E2%80%93Kutta_methods C++: http://www.dreamincode.net/code/snippet1441.htm 2nd & 4th order RK - Introduces parameterized midpoints for more symmetric solutions à accuracy at higher computational cost Adaptive RK – RK-Fehlberg – estimate the truncation at each integration step & automatically adjust the step size to keep error within prescribed limits. At each step 2 approximations are compared – if in disagreement to a specific accuracy, the step size is reduced Boundary Value Problems Where solution of differential equations are located at 2 different values of the independent variable x à more difficult, because cannot just start at point of initial value – there may not be enough starting conditions available at the end points to produce a unique solution An n-order equation will require n boundary conditions – need to determine the missing n-1 conditions which cause the given conditions at the other boundary to be satisfied Shooting Method http://en.wikipedia.org/wiki/Shooting_method C++: http://ganeshtiwaridotcomdotnp.blogspot.co.il/2009/12/c-c-code-shooting-method-for-solving.html Iteratively guess the missing values for one end & integrate, then inspect the discrepancy with the boundary values of the other end to adjust the estimate Given the starting boundary values u1 & u2 which contain the root u, solve u given the false position method (solving the differential equation as an initial value problem via 4th order RK), then use u to solve the differential equations. Finite Difference Method For linear & non-linear systems Higher order derivatives require more computational steps – some combinations for boundary conditions may not work though Improve the accuracy by increasing the number of mesh points Solving EigenValue Problems An eigenvalue can substitute a matrix when doing matrix multiplication à convert matrix multiplication into a polynomial EigenValue For a given set of equations in matrix form, determine what are the solution eigenvalue & eigenvectors Similar Matrices - have same eigenvalues. Use orthogonal similarity transforms to reduce a matrix to diagonal form from which eigenvalue(s) & eigenvectors can be computed iteratively Jacobi method http://en.wikipedia.org/wiki/Jacobi_method C++: http://people.sc.fsu.edu/~jburkardt/classes/acs2_2008/openmp/jacobi/jacobi.html Robust but Computationally intense – use for small matrices < 10x10 Power Iteration http://en.wikipedia.org/wiki/Power_iteration For any given real symmetric matrix, generate the largest single eigenvalue & its eigenvectors Simplest method – does not compute matrix decomposition à suitable for large, sparse matrices Inverse Iteration Variation of power iteration method – generates the smallest eigenvalue from the inverse matrix Rayleigh Method http://en.wikipedia.org/wiki/Rayleigh's_method_of_dimensional_analysis Variation of power iteration method Rayleigh Quotient Method Variation of inverse iteration method Matrix Tri-diagonalization Method Use householder algorithm to reduce an NxN symmetric matrix to a tridiagonal real symmetric matrix vua N-2 orthogonal transforms     Whats Next Outside of Numerical Methods there are lots of different types of algorithms that I’ve learned over the decades: Data Mining – (I covered this briefly in a previous post: http://geekswithblogs.net/JoshReuben/archive/2007/12/31/ssas-dm-algorithms.aspx ) Search & Sort Routing Problem Solving Logical Theorem Proving Planning Probabilistic Reasoning Machine Learning Solvers (eg MIP) Bioinformatics (Sequence Alignment, Protein Folding) Quant Finance (I read Wilmott’s books – interesting) Sooner or later, I’ll cover the above topics as well.

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• Numerical Pattern Matching

  - by Timothy Strimple

  A project I'm researching requires some numerical pattern matching. My searches haven't turned up many relevant hits since most results tend to be around text pattern matching. The idea is we'll have certain wave patterns we'll need to be watching for and trying to match incoming data vs the wave database we will be building. Here is and example of one of the wave patterns we'll need to be matching against. There is clearly a pattern there, but the peaks will not have the exact same values, but the overall shape of the wave iterations will be very similar. Does anyone have any advice on how to go about storing and later matching these patterns, and / or other search terms I can use to find more information on the subject of pattern matching? Thanks, Tim.

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• Accelerate your SOA with Data Integration - Live Webinar Tuesday!

  - by dain.hansen

  Need to put wind in your SOA sails? Organizations are turning more and more to Real-time data integration to complement their Service Oriented Architecture. The benefit? Lowering costs through consolidating legacy systems, reducing risk of bad data polluting their applications, and shortening the time to deliver new service offerings. Join us on Tuesday April 13th, 11AM PST for our live webinar on the value of combining SOA and Data Integration together. In this webcast you'll learn how to innovate across your applications swiftly and at a lower cost using Oracle Data Integration technologies: Oracle Data Integrator Enterprise Edition, Oracle GoldenGate, and Oracle Data Quality. You'll also hear: Best practices for building re-usable data services that are high performing and scalable across the enterprise How real-time data integration can maximize SOA returns while providing continuous availability for your mission critical applications Architectural approaches to speed service implementation and delivery times, with pre-integrations to CRM, ERP, BI, and other packaged applications Register now for this live webinar!

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• Where should I draw the line between unit tests and integration tests? Should they be separate?

  - by Earlz

  I have a small MVC framework I've been working on. It's code base definitely isn't big, but it's not longer just a couple of classes. I finally decided to take the plunge and start writing tests for it(yes, I know I should've been doing that all along, but it's API was super unstable up until now) Anyway, my plan is to make it extremely easy to test, including integration tests. An example integration test would go something along these lines: Fake HTTP request object - MVC framework - HTTP response object - check the response is correct Because this is all doable without any state or special tools(browser automation etc), I could actually do this with ease with regular unit test frameworks(I use NUnit). Now the big question. Where exactly should I draw the line between unit tests and integration tests? Should I only test one class at a time(as much as possible) with unit tests? Also, should integration tests be placed in the same testing project as my unit testing project?

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• Data Integration 12c Raising the Big Data Roof at Oracle OpenWorld

  - by Tanu Sood

  Normal 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-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Author: Dain Hansen, Director, Oracle It was an exciting OpenWorld 2013 for us in the Data Integration track. Our theme this year was all about ‘being future ready’ - previewing one of our biggest releases this year: Oracle Data Integration 12c. Just this week we followed up with this preview by announcing the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. Normal 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-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Mark Hurd's keynote on day one set the tone for the Data Integration sessions. Mark focused on big data analytics and the changing consumer expectations. Especially real-time insight is a key theme for Oracle overall and data integration products. In Mark Hurd's keynote we heard from key customers, such as Airbus and Thomson Reuters, how real-time analysis of operational data including machine data creates value, in some cases even saves lives. Thomas Kurian gave a deeper look into Oracle's big data and fast data solutions. In the initial lead Data Integration track session - Brad Adelberg, VP of Development, presented Oracle’s Data Integration 12c product strategy based on key trends from the initial OpenWorld keynotes. Brad talked about how Oracle's data integration products address the new data integration requirements that evolved with cloud computing, big data, and changing consumer expectations and how they set the key themes in our products’ road map. Brad explained why and how fast-time to value, high-performance and future-ready solutions is the top focus areas for product development. If you were not able to attend OpenWorld or this session I recommend reading the white paper: Five New Data Integration Requirements and How to Meet them with Oracle Data Integration, which provides an in-depth look into how Oracle addresses the new trends in the DI market. Following Brad’s session, Nick Wagner provided in depth review of Oracle GoldenGate’s latest features and roadmap. Nick discussed how Oracle GoldenGate’s tight integration with Oracle Database sets the product apart from the competition. We also heard that heterogeneity of the product is still a major focus for GoldenGate’s development and there will be more news on that front when there is a major release. Normal 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-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} After GoldenGate’s product strategy session, Denis Gray from the PM team presented Oracle Data Integrator’s product strategy session, talking about the latest and greatest on ODI. Another good session was delivered by long-time GoldenGate users, Comcast.  Jason Hurd and Amit Patel of Comcast talked about the various use cases they deploy Oracle GoldenGate throughout their enterprise, from database upgrades, feeding reporting systems, to active-active database synchronization.  The Comcast team shared many good tips on how to use GoldenGate for both zero downtime upgrades and active-active replication with conflict management requirement. One of our other important goals we had this year for the Data Integration track at OpenWorld was hearing from our customers. We ended day 1 on just that, with a wonderful award ceremony for Oracle Excellence Awards for Oracle Fusion Middleware Innovation. The ceremony was held in the Yerba Buena Center for the Arts. Congratulations to Royal Bank of Scotland and Yalumba Wine Company, the winners in the Data Integration category. You can find more information on the award and the winners in our previous blog post: 2013 Oracle Excellence Awards for Fusion Middleware Innovation… Selected for their innovation use of Oracle’s Data Integration products; the winners for the Data Integration Category are Royal Bank of Scotland and The Yalumba Wine Company. Congratulations!!! Royal Bank of Scotland’s Market and International Banking division provides clients across the globe with seamless trading and competitive pricing, underpinned by a deep knowledge of risk management across the full spectrum of financial products. They handle millions of transactions daily to keep the lifeblood of their clients’ businesses flowing – whether through payment management solutions or through bespoke trade finance solutions. Royal Bank of Scotland is leveraging Oracle GoldenGate and Oracle Data Integrator along with Oracle Business Intelligence Enterprise Edition and the Oracle Database for a variety of solutions. Mainly, Oracle GoldenGate and Oracle Data Integrator are used to feed their data warehouse – providing a real-time data integration solution that feeds transactional data to their analytics system in minutes to enable improved decision making with timely, accurate data for their business users. Oracle Data Integrator’s in-database transformation capabilities and its ability to integrate with Oracle GoldenGate for real-time data capture is the foundation of this implementation. This solution makes it such that changes happening in the analytics systems are available the same day they are deployed on the operational system with 100% data quality guaranteed. Additionally, the solution has helped to reduce their operational database size from 150GB to 10GB. Impressive! Now what if I told you this solution was built in 3 months and had a less than 6 month return on investment? That’s outstanding! The Yalumba Wine Company is situated in the Barossa Valley of Australia. It is the oldest family owned winery in Australia with a unique way of aging their wines in specially crafted 100 liter barrels. Did you know that “Yalumba” is Aboriginal for “all the land around”? The Yalumba Wine Company is growing rapidly, and was in need of introducing a more modern standard to the existing manufacturing processes to meet globalization demands, overall time-to-market, and better operational efficiency objectives of product development. The Yalumba Wine Company worked with a partner, Bristlecone to develop a unique solution whereby Oracle Data Integrator is leveraged to pull data from Salesforce.com and JD Edwards, in addition to their other pre-existing source systems, for consumption into their data warehouse. They have emphasized the overall ease of developing integration workflows with Oracle Data Integrator. The solution has brought better visibility for the business users, shorter data loading and transformation performance to their data warehouse with rapid incorporation of new data sources, and a solid future-proof foundation for their organization. Moving forward, they plan on leveraging more from Oracle’s Data Integration portfolio. Terrific! In addition to these two customers on Tuesday we featured many other important Oracle Data Integrator and Oracle GoldenGate customers. On Tuesday the GoldenGate panel included: Land O’Lakes, Smuckers, and Veolia Water. Besides giving us yummy nutrition and healthy water, these companies have another aspect in common. They all use GoldenGate to boost their ERP application. Please read the recap by Irem Radzik. On Wednesday, the ODI Panel included: Barry Ralston and Ryan Weber of Infinity Insurance, Paul Stracke of Paychex Inc., and Ian Wall of Vertex Pharmaceuticals for a session filled with interesting projects, use cases and approaches to leveraging Oracle Data Integrator. Please read the recap by Sandrine Riley for more. Thanks to everyone who joined with us and we hope to stay connected! To hear more about our Data Integration12c products join us in an upcoming webcast to learn more. Follow us www.twitter.com/ORCLGoldenGate or goto our website at www.oracle.com/goto/dataintegration

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• Partner Webcast - Oracle Data Integration Competency Center (DICC): A Niche Market for services

  - by Thanos Terentes Printzios

  Market success now depends on data integration speed. This is why we collected all best practices from the most advanced IT leaders, simply to prove that a Data Integration competency center should be the primary new IT team you should establish. This is a niche market with unlimited potential for partners becoming, the much needed, data integration services provider trusted by customers. We would like to elaborate with OPN Partners on the Business Value Assessment and Total Economic Impact of the Data Integration Platform for End Users, while justifying re-organizing your IT services teams. We are happy to share our research on: The Economical impact of data integration platform/competency center. Justifying strongest reasons and differentiators, using numeric analysis and best-practice in customer case studies from specific industries Utilizing diagnostics and health-check analysis in building a business case for your customers What exactly is so special in the technology of Oracle Data Integration Impact of growing data volume and amount of data sources Analysis of usual solutions that are being implemented so far, addressing key challenges and mistakes During this partner webcast we will balance business case centric content with extensive numerical ROI analysis. Join us to find out how to build a unified approach to moving/sharing/integrating data across the enterprise and why this is an important new services opportunity for partners. Agenda: Data Integration Competency Center Oracle Data Integration Solution Overview Services Niche Market For OPN Summary Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Presenter: Milomir Vojvodic, EMEA Senior Business Development Manager for Oracle Data Integration Product Group Date: Thursday, September 4th, 10pm CEST (8am UTC/11am EEST)Duration: 1 hour Register Today For any questions please contact us at [email protected]

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• JDeveloper 11g R1 (11.1.1.4.0) - New Features on ADF Desktop Integration Explained

  - by juan.ruiz

  One of the areas that introduced many new features on the latest release (11.1.1.4.0)  of JDeveloper 11g R1 is ADF Desktop integration - in this article I’ll provide an overview of these new features. New ADF Desktop Integration Ribbon in Excel - After installing the ADF desktop integration add-in and depending on the mode in which you open the desktop integration workbook, the ADF Desktop integration ribbon for design time and runtime are displayed as a separate tab within Excel. In previous version the ADF Desktop integration environment used to be placed inside the add-ins tab. Above you can see both, design time ribbon as well as runtime ribbon. On the design time ribbon you can manage the workbook and worksheet properties, worksheet component properties, diagnostics, execution and publication of the workbook. The runtime version of the ribbon is totally customizable and represents what it used to be the runtime menu on the spreadsheet, in this ribbon you can include all the operations and actions that could be executed by the end user while working with the spreadsheet data. Diagnostics - A very important aspect for developers is how to debug or verify the interactions of the client with the server, for that ADF desktop integration has provided since day one a series of diagnostics tools. In this release the diagnostics tools are more visible and are really easy to configure. You can access the client console while testing the workbook, or you can simple dump all the messages to a log file – having the ability of setting the output level for both. Security - There are a number of enhancements on security but the one with more impact for developers is tha security now is optional when using ADF Desktop Integration. Until this version every time that you wanted to work with ADFdi it was a must that the application was previously secured. In this release security is optional which means that if you have previously defined security on your application, then you must secure the ADFdi servlet as explained in one of my previous (ADD LINK) posts. In the other hand, if but the time that you start working with ADFdi you have not defined security, you can test and publish your workbooks without adding security. Support for Continuous Integration - In this release we have added tooling for continuous integration building. in the ADF desktop integration space, the concept translates to adding functionality that developers can use to publish ADFdi workbooks as part of their entire application build. For that purpose, we have a publish tool that can be easily invoke from an ANT task such that all the design time workbooks are re-published into the latest version of the application building process. Key Column - At runtime, on any worksheet containing editable tables you will notice a new additional column called the key column. The purpose of this column is to make the end user aware that all rows on the table need to be selected at the time of sorting. The users cannot alter the value of this column. From the developers points of view there are no steps required in order to have the key column included into the worksheets. Installation and Creation of New Workbooks - Both use cases can be executed now directly from JDeveloper. As part of the Tools menu options the developer can install the ADF desktop integration designer. Also, creating new workbooks that previously was done through that convert tool shipped with JDeveloper is now automatic done from the New Gallery. Creating a new ADFdi workbook adds metadata information information to the Excel workbook so you can work in design time. Other Enhancements Support for Excel 2010 and the ADF components ready-only enabled don’t allow to change its value – the cell in Excel is automatically protected, this could cause confusion among customers of previous releases.

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