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  • Announcing: Great Improvements to Windows Azure Web Sites

    - by ScottGu
    I’m excited to announce some great improvements to the Windows Azure Web Sites capability we first introduced earlier this summer.  Today’s improvements include: a new low-cost shared mode scaling option, support for custom domains with shared and reserved mode web-sites using both CNAME and A-Records (the later enabling naked domains), continuous deployment support using both CodePlex and GitHub, and FastCGI extensibility.  All of these improvements are now live in production and available to start using immediately. New “Shared” Scaling Tier Windows Azure allows you to deploy and host up to 10 web-sites in a free, shared/multi-tenant hosting environment. You can start out developing and testing web sites at no cost using this free shared mode, and it supports the ability to run web sites that serve up to 165MB/day of content (5GB/month).  All of the capabilities we introduced in June with this free tier remain the same with today’s update. Starting with today’s release, you can now elastically scale up your web-site beyond this capability using a new low-cost “shared” option (which we are introducing today) as well as using a “reserved instance” option (which we’ve supported since June).  Scaling to either of these modes is easy.  Simply click on the “scale” tab of your web-site within the Windows Azure Portal, choose the scaling option you want to use with it, and then click the “save” button.  Changes take only seconds to apply and do not require any code to be changed, nor the app to be redeployed: Below are some more details on the new “shared” option, as well as the existing “reserved” option: Shared Mode With today’s release we are introducing a new low-cost “shared” scaling mode for Windows Azure Web Sites.  A web-site running in shared mode is deployed in a shared/multi-tenant hosting environment.  Unlike the free tier, though, a web-site in shared mode has no quotas/upper-limit around the amount of bandwidth it can serve.  The first 5 GB/month of bandwidth you serve with a shared web-site is free, and then you pay the standard “pay as you go” Windows Azure outbound bandwidth rate for outbound bandwidth above 5 GB. A web-site running in shared mode also now supports the ability to map multiple custom DNS domain names, using both CNAMEs and A-records, to it.  The new A-record support we are introducing with today’s release provides the ability for you to support “naked domains” with your web-sites (e.g. http://microsoft.com in addition to http://www.microsoft.com).  We will also in the future enable SNI based SSL as a built-in feature with shared mode web-sites (this functionality isn’t supported with today’s release – but will be coming later this year to both the shared and reserved tiers). You pay for a shared mode web-site using the standard “pay as you go” model that we support with other features of Windows Azure (meaning no up-front costs, and you pay only for the hours that the feature is enabled).  A web-site running in shared mode costs only 1.3 cents/hr during the preview (so on average $9.36/month). Reserved Instance Mode In addition to running sites in shared mode, we also support scaling them to run within a reserved instance mode.  When running in reserved instance mode your sites are guaranteed to run isolated within your own Small, Medium or Large VM (meaning no other customers run within it).  You can run any number of web-sites within a VM, and there are no quotas on CPU or memory limits. You can run your sites using either a single reserved instance VM, or scale up to have multiple instances of them (e.g. 2 medium sized VMs, etc).  Scaling up or down is easy – just select the “reserved” instance VM within the “scale” tab of the Windows Azure Portal, choose the VM size you want, the number of instances of it you want to run, and then click save.  Changes take effect in seconds: Unlike shared mode, there is no per-site cost when running in reserved mode.  Instead you pay only for the reserved instance VMs you use – and you can run any number of web-sites you want within them at no extra cost (e.g. you could run a single site within a reserved instance VM or 100 web-sites within it for the same cost).  Reserved instance VMs start at 8 cents/hr for a small reserved VM.  Elastic Scale-up/down Windows Azure Web Sites allows you to scale-up or down your capacity within seconds.  This allows you to deploy a site using the shared mode option to begin with, and then dynamically scale up to the reserved mode option only when you need to – without you having to change any code or redeploy your application. If your site traffic starts to drop off, you can scale back down the number of reserved instances you are using, or scale down to the shared mode tier – all within seconds and without having to change code, redeploy, or adjust DNS mappings.  You can also use the “Dashboard” view within the Windows Azure Portal to easily monitor your site’s load in real-time (it shows not only requests/sec and bandwidth but also stats like CPU and memory usage). Because of Windows Azure’s “pay as you go” pricing model, you only pay for the compute capacity you use in a given hour.  So if your site is running most of the month in shared mode (at 1.3 cents/hr), but there is a weekend when it gets really popular and you decide to scale it up into reserved mode to have it run in your own dedicated VM (at 8 cents/hr), you only have to pay the additional pennies/hr for the hours it is running in the reserved mode.  There is no upfront cost you need to pay to enable this, and once you scale back down to shared mode you return to the 1.3 cents/hr rate.  This makes it super flexible and cost effective. Improved Custom Domain Support Web sites running in either “shared” or “reserved” mode support the ability to associate custom host names to them (e.g. www.mysitename.com).  You can associate multiple custom domains to each Windows Azure Web Site.  With today’s release we are introducing support for A-Records (a big ask by many users). With the A-Record support, you can now associate ‘naked’ domains to your Windows Azure Web Sites – meaning instead of having to use www.mysitename.com you can instead just have mysitename.com (with no sub-name prefix).  Because you can map multiple domains to a single site, you can optionally enable both a www and naked domain for a site (and then use a URL rewrite rule/redirect to avoid SEO problems). We’ve also enhanced the UI for managing custom domains within the Windows Azure Portal as part of today’s release.  Clicking the “Manage Domains” button in the tray at the bottom of the portal now brings up custom UI that makes it easy to manage/configure them: As part of this update we’ve also made it significantly smoother/easier to validate ownership of custom domains, and made it easier to switch existing sites/domains to Windows Azure Web Sites with no downtime. Continuous Deployment Support with Git and CodePlex or GitHub One of the more popular features we released earlier this summer was support for publishing web sites directly to Windows Azure using source control systems like TFS and Git.  This provides a really powerful way to manage your application deployments using source control.  It is really easy to enable this from a website’s dashboard page: The TFS option we shipped earlier this summer provides a very rich continuous deployment solution that enables you to automate builds and run unit tests every time you check in your web-site, and then if they are successful automatically publish to Azure. With today’s release we are expanding our Git support to also enable continuous deployment scenarios and integrate with projects hosted on CodePlex and GitHub.  This support is enabled with all web-sites (including those using the “free” scaling mode). Starting today, when you choose the “Set up Git publishing” link on a website’s “Dashboard” page you’ll see two additional options show up when Git based publishing is enabled for the web-site: You can click on either the “Deploy from my CodePlex project” link or “Deploy from my GitHub project” link to walkthrough a simple workflow to configure a connection between your website and a source repository you host on CodePlex or GitHub.  Once this connection is established, CodePlex or GitHub will automatically notify Windows Azure every time a checkin occurs.  This will then cause Windows Azure to pull the source and compile/deploy the new version of your app automatically.  The below two videos walkthrough how easy this is to enable this workflow and deploy both an initial app and then make a change to it: Enabling Continuous Deployment with Windows Azure Websites and CodePlex (2 minutes) Enabling Continuous Deployment with Windows Azure Websites and GitHub (2 minutes) This approach enables a really clean continuous deployment workflow, and makes it much easier to support a team development environment using Git: Note: today’s release supports establishing connections with public GitHub/CodePlex repositories.  Support for private repositories will be enabled in a few weeks. Support for multiple branches Previously, we only supported deploying from the git ‘master’ branch.  Often, though, developers want to deploy from alternate branches (e.g. a staging or future branch). This is now a supported scenario – both with standalone git based projects, as well as ones linked to CodePlex or GitHub.  This enables a variety of useful scenarios.  For example, you can now have two web-sites - a “live” and “staging” version – both linked to the same repository on CodePlex or GitHub.  You can configure one of the web-sites to always pull whatever is in the master branch, and the other to pull what is in the staging branch.  This enables a really clean way to enable final testing of your site before it goes live. This 1 minute video demonstrates how to configure which branch to use with a web-site. Summary The above features are all now live in production and available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using them today.  Visit the Windows Azure Developer Center to learn more about how to build apps with it. We’ll have even more new features and enhancements coming in the weeks ahead – including support for the recent Windows Server 2012 and .NET 4.5 releases (we will enable new web and worker role images with Windows Server 2012 and .NET 4.5 next month).  Keep an eye out on my blog for details as these new features become available. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Thank You for a Great Welcome for Oracle GoldenGate 11g Release 2

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Yesterday morning we had two launch webcasts for Oracle GoldenGate 11g Release 2. I had the pleasure to present, as well as moderate the Q&A panels in both of these webcasts. Both events had hundreds of live attendees, sending us over 150 questions. Even though we left 30 minutes for Q&A, it was not nearly enough time to address for all the insightful questions our audience sent. Our product management team and I really appreciate the interaction we had yesterday and we are starting to respond back with outstanding questions today. Oracle GoldenGate’s new release launch also had great welcome from the media. You can find the links for various articles on the new release below: ITBusinessEdge Oracle Embraces Cross-Platform Data Integration Information Week: Oracle Real-Time Advance Taps Compressed Data Integration Developer News, Oracle GoldenGate Adds Deeper Oracle Integration, Extends Real-Time Performance CIO, Oracle GoldenGate Buddies Up with Sibling Software DBTA, Real-Time Data Integration: Oracle GoldenGate 11g Release 2 Now Available CBR Oracle unveils GoldenGate 11g Release 2 real-time data integration application In this blog, I want to address some of the frequently asked questions that came up during the webcasts. You can find the top questions and their answers along with related resources below. We will continue to address frequently asked questions via future blogs. Q: Will the new Integrated Capture for Oracle Database replace the Classic Capture? If not, which one do I use when? A: No, Classic Capture will be around for long time. Core platform specific features, bug fixes, and patches will be available for both Capture processes.Oracle Database specific features will be only available in the Integrated Capture. The Integrated Capture for Oracle Database is an option for users that need to capture data from compressed tables or need support for XML data types, XA on RAC. Users who don’t leverage these features should continue to use our Classic Capture. For more information on Oracle GoldenGate 11g Release 2 I recommend to check out the White paper: Oracle GoldenGate 11gR2 New Features as well as other technical white papers we have on OTN.                                                         For those of you coming to OpenWorld, please attend the related session: Extracting Data in Oracle GoldenGate Integrated Capture Mode, Monday Oct 1st 1:45pm Moscone South – 102 to learn more about this new feature. Q: What is new in Conflict Detection and Resolution? And how does it work? A: There are now pre-built functions to identify the conditions under which an error occurs and how to handle the record when the condition occurs. Error conditions handled include inserts into a target table where the row already exists, updates or deletes to target table rows that exist, but the original source data (before columns) do not match the existing data in the target row, and updates or deletes where the row does not exist in the target database table.Foreach of these conditions a method to handle the error is specified.  Please check out our recent blog on this topic and the White paper: Oracle GoldenGate 11gR2 New Features white paper.  Also, for those attending OpenWorld please attend the session: Best Practices for Conflict Detection and Resolution in Oracle GoldenGate for Active/Active-  Wednesday Oct 3rd  3:30pm Mascone 3000 Q: Does Oracle GoldenGate Veridata and the Management Pack require additional licenses, or is it incorporated with the GoldenGate license? A: Oracle GoldenGate Veridata and Oracle Management Pack for Oracle GoldenGate are additional products and require separate licenses. Please check out Oracle's price list here. Q: Does GoldenGate - Oracle Enterprise Manager Plug-in require additional license? A: Oracle Enterprise Manager Plug-in is included in the Oracle Management Pack for Oracle GoldenGate license, which is separate from Oracle GoldenGate license. There is no separate license for the Enterprise Manager Plug-in by itself. Oracle GoldenGate Monitor, Oracle GoldenGate Director, and Enterprise Manager Plug-in are included in the Management Pack for Oracle GoldenGate license. Please check out Management Pack for Oracle GoldenGate data sheet for more info on this product bundle. Q: Is Oracle GoldenGate replacing Oracle Streams product? A: Oracle GoldenGate is the strategic data replication product. Therefore, Oracle Streams will continue to be supported, but will not be actively enhanced. Rather, the best elements of Oracle Streams will be added to Oracle GoldenGate. Conflict management is one of them and with the latest release Oracle GoldenGate has a more advanced conflict management offering. Current customers depending on Oracle Streams will continue to be fully supported. Q: How is Oracle GoldenGate different than Oracle Data Integrator? A: Oracle Data Integrator is designed for fast bulk data movement and transformation between heterogeneous systems, while GoldenGate is designed for real-time movement of transactions between heterogeneous systems. These two products are completely complementary where GoldenGate provides low-impact real-time change data capture and delivery to a staging area on the target. And Oracle Data Integrator transforms this data and loads the DW tables. In fact, Oracle Data Integrator integrates with GoldenGate to use GoldenGate’s Capture process as one option for its CDC mechanism. We have several customers that deployed GoldenGate and ODI together to feed real-time data to their data warehousing solutions. Please also check out Oracle Data Integrator Changed Data Capture with Oracle GoldenGate Data Sheet (PDF). Thank you again very much for welcoming Oracle GoldenGate 11g Release 2 and stay in touch with us for more exciting news, updates, and events.

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  • More Great Improvements to the Windows Azure Management Portal

    - by ScottGu
    Over the last 3 weeks we’ve released a number of enhancements to the new Windows Azure Management Portal.  These new capabilities include: Localization Support for 6 languages Operation Log Support Support for SQL Database Metrics Virtual Machine Enhancements (quick create Windows + Linux VMs) Web Site Enhancements (support for creating sites in all regions, private github repo deployment) Cloud Service Improvements (deploy from storage account, configuration support of dedicated cache) Media Service Enhancements (upload, encode, publish, stream all from within the portal) Virtual Networking Usability Enhancements Custom CNAME support with Storage Accounts All of these improvements are now live in production and available to start using immediately.  Below are more details on them: Localization Support The Windows Azure Portal now supports 6 languages – English, German, Spanish, French, Italian and Japanese. You can easily switch between languages by clicking on the Avatar bar on the top right corner of the Portal: Selecting a different language will automatically refresh the UI within the portal in the selected language: Operation Log Support The Windows Azure Portal now supports the ability for administrators to review the “operation logs” of the services they manage – making it easy to see exactly what management operations were performed on them.  You can query for these by selecting the “Settings” tab within the Portal and then choosing the “Operation Logs” tab within it.  This displays a filter UI that enables you to query for operations by date and time: As of the most recent release we now show logs for all operations performed on Cloud Services and Storage Accounts.  You can click on any operation in the list and click the “Details” button in the command bar to retrieve detailed status about it.  This now makes it possible to retrieve details about every management operation performed. In future updates you’ll see us extend the operation log capability to apply to all Windows Azure Services – which will enable great post-mortem and audit support. Support for SQL Database Metrics You can now monitor the number of successful connections, failed connections and deadlocks in your SQL databases using the new “Dashboard” view provided on each SQL Database resource: Additionally, if the database is added as a “linked resource” to a Web Site or Cloud Service, monitoring metrics for the linked SQL database are shown along with the Web Site or Cloud Service metrics in the dashboard. This helps with viewing and managing aggregated information across both resources in your application. Enhancements to Virtual Machines The most recent Windows Azure Portal release brings with it some nice usability improvements to Virtual Machines: Integrated Quick Create experience for Windows and Linux VMs Creating a new Windows or Linux VM is now easy using the new “Quick Create” experience in the Portal: In addition to Windows VM templates you can also now select Linux image templates in the quick create UI: This makes it incredibly easy to create a new Virtual Machine in only a few seconds. Enhancements to Web Sites Prior to this past month’s release, users were forced to choose a single geographical region when creating their first site.  After that, subsequent sites could only be created in that same region.  This restriction has now been removed, and you can now create sites in any region at any time and have up to 10 free sites in each supported region: One of the new regions we’ve recently opened up is the “East Asia” region.  This allows you to now deploy sites to North America, Europe and Asia simultaneously.  Private GitHub Repository Support This past week we also enabled Git based continuous deployment support for Web Sites from private GitHub and BitBucket repositories (previous to this you could only enable this with public repositories).  Enhancements to Cloud Services Experience The most recent Windows Azure Portal release brings with it some nice usability improvements to Cloud Services: Deploy a Cloud Service from a Windows Azure Storage Account The Windows Azure Portal now supports deploying an application package and configuration file stored in a blob container in Windows Azure Storage. The ability to upload an application package from storage is available when you custom create, or upload to, or update a cloud service deployment. To upload an application package and configuration, create a Cloud Service, then select the file upload dialog, and choose to upload from a Windows Azure Storage Account: To upload an application package from storage, click the “FROM STORAGE” button and select the application package and configuration file to use from the new blob storage explorer in the portal. Configure Windows Azure Caching in a caching enabled cloud service If you have deployed the new dedicated cache within a cloud service role, you can also now configure the cache settings in the portal by navigating to the configuration tab of for your Cloud Service deployment. The configuration experience is similar to the one in Visual Studio when you create a cloud service and add a caching role.  The portal now allows you to add or remove named caches and change the settings for the named caches – all from within the Portal and without needing to redeploy your application. Enhancements to Media Services You can now upload, encode, publish, and play your video content directly from within the Windows Azure Portal.  This makes it incredibly easy to get started with Windows Azure Media Services and perform common tasks without having to write any code. Simply navigate to your media service and then click on the “Content” tab.  All of the media content within your media service account will be listed here: Clicking the “upload” button within the portal now allows you to upload a media file directly from your computer: This will cause the video file you chose from your local file-system to be uploaded into Windows Azure.  Once uploaded, you can select the file within the content tab of the Portal and click the “Encode” button to transcode it into different streaming formats: The portal includes a number of pre-set encoding formats that you can easily convert media content into: Once you select an encoding and click the ok button, Windows Azure Media Services will kick off an encoding job that will happen in the cloud (no need for you to stand-up or configure a custom encoding server).  When it’s finished, you can select the video in the “Content” tab and then click PUBLISH in the command bar to setup an origin streaming end-point to it: Once the media file is published you can point apps against the public URL and play the content using Windows Azure Media Services – no need to setup or run your own streaming server.  You can also now select the file and click the “Play” button in the command bar to play it using the streaming endpoint directly within the Portal: This makes it incredibly easy to try out and use Windows Azure Media Services and test out an end-to-end workflow without having to write any code.  Once you test things out you can of course automate it using script or code – providing you with an incredibly powerful Cloud Media platform that you can use. Enhancements to Virtual Network Experience Over the last few months, we have received feedback on the complexity of the Virtual Network creation experience. With these most recent Portal updates, we have added a Quick Create experience that makes the creation experience very simple. All that an administrator now needs to do is to provide a VNET name, choose an address space and the size of the VNET address space. They no longer need to understand the intricacies of the CIDR format or walk through a 4-page wizard or create a VNET / subnet. This makes creating virtual networks really simple: The portal also now has a “Register DNS Server” task that makes it easy to register DNS servers and associate them with a virtual network. Enhancements to Storage Experience The portal now lets you register custom domain names for your Windows Azure Storage Accounts.  To enable this, select a storage resource and then go to the CONFIGURE tab for a storage account, and then click MANAGE DOMAIN on the command bar: Clicking “Manage Domain” will bring up a dialog that allows you to register any CNAME you want: Summary The above features are all now live in production and available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using them today.  Visit the Windows Azure Developer Center to learn more about how to build apps with it. One of the other cool features that is now live within the portal is our new Windows Azure Store – which makes it incredibly easy to try and purchase developer services from a variety of partners.  It is an incredibly awesome new capability – and something I’ll be doing a dedicated post about shortly. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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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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  • Solving Big Problems with Oracle R Enterprise, Part II

    - by dbayard
    Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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  • Splitting big request in multiple small ajax requests

    - by Ionut
    I am unsure regarding the scalability of the following model. I have no experience at all with large systems, big number of requests and so on but I'm trying to build some features considering scalability first. In my scenario there is a user page which contains data for: User's details (name, location, workplace ...) User's activity (blog posts, comments...) User statistics (rating, number of friends...) In order to show all this on the same page, for a request there will be at least 3 different database queries on the back-end. In some cases, I imagine that those queries will be running quite a wile, therefore the user experience may suffer while waiting between requests. This is why I decided to run only step 1 (User's details) as a normal request. After the response is received, two ajax requests are sent for steps 2 and 3. When those responses are received, I only place the data in the destined wrappers. For me at least this makes more sense. However there are 3 requests instead of one for every user page view. Will this affect the system on the long term? I'm assuming that this kind of approach requires more resources but is this trade of UX for resources a good dial or should I stick to one plain big request?

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  • Solving Big Problems with Oracle R Enterprise, Part I

    - by dbayard
    Abstract: This blog post will show how we used Oracle R Enterprise to tackle a customer’s big calculation problem across a big data set. Overview: Databases are great for managing large amounts of data in a central place with rigorous enterprise-level controls.  R is great for doing advanced computations.  Sometimes you need to do advanced computations on large amounts of data, subject to rigorous enterprise-level concerns.  This blog post shows how Oracle R Enterprise enables R plus the Oracle Database enabled us to do some pretty sophisticated calculations across 1 million accounts (each with many detailed records) in minutes. The problem: A financial services customer of mine has a need to calculate the historical internal rate of return (IRR) for its customers’ portfolios.  This information is needed for customer statements and the online web application.  In the past, they had solved this with a home-grown application that pulled trade and account data out of their data warehouse and ran the calculations.  But this home-grown application was not able to do this fast enough, plus it was a challenge for them to write and maintain the code that did the IRR calculation. IRR – a problem that R is good at solving: Internal Rate of Return is an interesting calculation in that in most real-world scenarios it is impractical to calculate exactly.  Rather, IRR is a calculation where approximation techniques need to be used.  In this blog post, we will discuss calculating the “money weighted rate of return” but in the actual customer proof of concept we used R to calculate both money weighted rate of returns and time weighted rate of returns.  You can learn more about the money weighted rate of returns here: http://www.wikinvest.com/wiki/Money-weighted_return First Steps- Calculating IRR in R We will start with calculating the IRR in standalone/desktop R.  In our second post, we will show how to take this desktop R function, deploy it to an Oracle Database, and make it work at real-world scale.  The first step we did was to get some sample data.  For a historical IRR calculation, you have a balances and cash flows.  In our case, the customer provided us with several accounts worth of sample data in Microsoft Excel.      The above figure shows part of the spreadsheet of sample data.  The data provides balances and cash flows for a sample account (BMV=beginning market value. FLOW=cash flow in/out of account. EMV=ending market value). Once we had the sample spreadsheet, the next step we did was to read the Excel data into R.  This is something that R does well.  R offers multiple ways to work with spreadsheet data.  For instance, one could save the spreadsheet as a .csv file.  In our case, the customer provided a spreadsheet file containing multiple sheets where each sheet provided data for a different sample account.  To handle this easily, we took advantage of the RODBC package which allowed us to read the Excel data sheet-by-sheet without having to create individual .csv files.  We wrote ourselves a little helper function called getsheet() around the RODBC package.  Then we loaded all of the sample accounts into a data.frame called SimpleMWRRData. Writing the IRR function At this point, it was time to write the money weighted rate of return (MWRR) function itself.  The definition of MWRR is easily found on the internet or if you are old school you can look in an investment performance text book.  In the customer proof, we based our calculations off the ones defined in the The Handbook of Investment Performance: A User’s Guide by David Spaulding since this is the reference book used by the customer.  (One of the nice things we found during the course of this proof-of-concept is that by using R to write our IRR functions we could easily incorporate the specific variations and business rules of the customer into the calculation.) The key thing with calculating IRR is the need to solve a complex equation with a numerical approximation technique.  For IRR, you need to find the value of the rate of return (r) that sets the Net Present Value of all the flows in and out of the account to zero.  With R, we solve this by defining our NPV function: where bmv is the beginning market value, cf is a vector of cash flows, t is a vector of time (relative to the beginning), emv is the ending market value, and tend is the ending time. Since solving for r is a one-dimensional optimization problem, we decided to take advantage of R’s optimize method (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/optimize.html). The optimize method can be used to find a minimum or maximum; to find the value of r where our npv function is closest to zero, we wrapped our npv function inside the abs function and asked optimize to find the minimum.  Here is an example of using optimize: where low and high are scalars that indicate the range to search for an answer.   To test this out, we need to set values for bmv, cf, t, emv, tend, low, and high.  We will set low and high to some reasonable defaults. For example, this account had a negative 2.2% money weighted rate of return. Enhancing and Packaging the IRR function With numerical approximation methods like optimize, sometimes you will not be able to find an answer with your initial set of inputs.  To account for this, our approach was to first try to find an answer for r within a narrow range, then if we did not find an answer, try calling optimize() again with a broader range.  See the R help page on optimize()  for more details about the search range and its algorithm. At this point, we can now write a simplified version of our MWRR function.  (Our real-world version is  more sophisticated in that it calculates rate of returns for 5 different time periods [since inception, last quarter, year-to-date, last year, year before last year] in a single invocation.  In our actual customer proof, we also defined time-weighted rate of return calculations.  The beauty of R is that it was very easy to add these enhancements and additional calculations to our IRR package.)To simplify code deployment, we then created a new package of our IRR functions and sample data.  For this blog post, we only need to include our SimpleMWRR function and our SimpleMWRRData sample data.  We created the shell of the package by calling: To turn this package skeleton into something usable, at a minimum you need to edit the SimpleMWRR.Rd and SimpleMWRRData.Rd files in the \man subdirectory.  In those files, you need to at least provide a value for the “title” section. Once that is done, you can change directory to the IRR directory and type at the command-line: The myIRR package for this blog post (which has both SimpleMWRR source and SimpleMWRRData sample data) is downloadable from here: myIRR package Testing the myIRR package Here is an example of testing our IRR function once it was converted to an installable package: Calculating IRR for All the Accounts So far, we have shown how to calculate IRR for a single account.  The real-world issue is how do you calculate IRR for all of the accounts?This is the kind of situation where we can leverage the “Split-Apply-Combine” approach (see http://www.cscs.umich.edu/~crshalizi/weblog/815.html).  Given that our sample data can fit in memory, one easy approach is to use R’s “by” function.  (Other approaches to Split-Apply-Combine such as plyr can also be used.  See http://4dpiecharts.com/2011/12/16/a-quick-primer-on-split-apply-combine-problems/). Here is an example showing the use of “by” to calculate the money weighted rate of return for each account in our sample data set.  Recap and Next Steps At this point, you’ve seen the power of R being used to calculate IRR.  There were several good things: R could easily work with the spreadsheets of sample data we were given R’s optimize() function provided a nice way to solve for IRR- it was both fast and allowed us to avoid having to code our own iterative approximation algorithm R was a convenient language to express the customer-specific variations, business-rules, and exceptions that often occur in real-world calculations- these could be easily added to our IRR functions The Split-Apply-Combine technique can be used to perform calculations of IRR for multiple accounts at once. However, there are several challenges yet to be conquered at this point in our story: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In our next blog post in this series, we will show you how Oracle R Enterprise solved these challenges.

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  • When you’re on a high, start something big

    - by BuckWoody
    Most days are pretty average – we have some highs, some lows, and just regular old work to do. But some days the sun is shining, your co-workers are especially nice, and everything just falls into place. You really *enjoy* what you do. Don’t let that moment pass. All of us have “big” projects that we need to tackle. Things that are going to take a long time, and a lot of money. Those kinds of data projects take a LOT of planning, and many times we put that off just to get to the day’s work. I’ve found that the “high” moments are the perfect time to take on these big projects. I’m more focused, and more importantly, more positive. And as the quote goes, “whether you think you can or you think you can’t, you’re probably right.” You’ll find a way to make it happen if you’re in a positive mood. Now – having those “great days” is actually something you can influence, but I’ll save that topic for a future post. I have a project to work on. :) Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Were you a good programmer when you first left university?

    - by dustyprogrammer
    I recently graduated, from university. I have since then joined a development team where I am by far the least experienced developer, with maybe with a couple work terms under my belt, meanwhile the rest of the team is rocking 5-10 years experience. I am/was a very good student and a pretty good programmer when it came to bottled assignments and tests. I have worked on some projects with success. But now I working with a much bigger code-base, and the learning curve is much higher... I was wondering how many other developers started out their careers in teams and left like they sucked. When does this change? How can I speed up the process? My seniors are helping me but I want to be great and show my value now. I don't to start a flame war, this is just a question I have been having and I was hoping to get some advice from other experienced developers, as well as other beginners like me.

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  • Hard Copies VS Soft Copies

    - by Garet Claborn
    Where do you draw the line and say, "OK, I'm actually going to print out this piece of code, spec, formula, or other info and carry it around but these pieces can stay on disk." Well, more importantly why do you draw the line there? I've encountered this a number of times and have some sort of vague conceptions beyond "oh now I'm REALLY stuck, better print this out." I've also found some quicksheets of basic specs to be handy. Really though, I have no particular logic behind what is useful to physically have available in the design and development process. I have a great pile of 'stuff' papers that seemed at least partially relevant at the time, but I only really use about a third of them ever and often end up wishing I had different info on hand. Edit: So this is what I'm hearing in a nutshell: Major parts of the design pattern Common, fairly static and prominently useful code (reference or specs) Some representation of data useful in collaborating or sharing with team Extreme cases of tough problem solving Overwhelmingly,almost never print anything.

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  • Great library of ASP.NET videos – Pluralsight!

    - by hajan
    I have been subscribed to the Pluralsight website and of course since ASP.NET is my favorite development technology, I passed throughout few series of videos related to ASP.NET. You have list of ASP.NET galleries from Fundamentals to Advanced topics including the latest features of ASP.NET 4.0, ASP.NET Ajax, ASP.NET MVC etc. Most of the speakers are either Microsoft MVPs or known technology experts! I was really curious to see the way they have organized the entire course materials, and trust me, I was quite amazed. I saw the ASP.NET 4.0 video series to confirm my knowledge and some other video series regarding general software development concepts, design patterns etc. I would like to point out if anyone of you is interested to get FREE 1-week .NET training pass in the Pluralsight library, please CONTACT ME, write your name and email and include the purpose of the message in the content. I hope you will find this useful. Regards, Hajan

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  • Here’s 6 Great Tricks for Windows 8 that You Probably Don’t Know

    - by Chris Hoffman
    We’ve covered a lot of tips, tricks, and tweaks for Windows 8, but there are still a few more. From bypassing the lock screen to instantly taking and saving screenshots, here are a few more hidden options and keyboard shortcuts. Whether you love Windows 8, hate it, or just wish Metro would go away, these options will help you make Windows 8 work the way you want it to. How to Own Your Own Website (Even If You Can’t Build One) Pt 2 How to Own Your Own Website (Even If You Can’t Build One) Pt 1 What’s the Difference Between Sleep and Hibernate in Windows?

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  • A Great Keyword Research Tip - How to Do the Right Keyword Research

    There are many different kinds of affiliate marketing advice being thrown out by different Internet marketing experts. They claim that it will lead to affiliate success. Most will say that an appropriate website for a certain target market would do the trick. The usual barometer, of course, is the Google ranking (these show the website traffic)-however, these hardly translate to a high amount of sales.

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  • Simon Sabin has a great discount for the SQL Server Masterclass

    - by Testas
    Check out Simons blog post to get a discount of £100 for this event http://sqlblogcasts.com/blogs/simons/archive/2010/05/14/paul-and-kimberly-are-coming-the-uk.aspx   Remember as well  Pencil the 17th June in your diary, send an email [email protected] with the title of Masterclass in the subject line. On Friday 25th May we will draw out a name and the winner will have free entrance to a must see seminar on SQL Server from two of the industry’s leading experts. Thanks Chris

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  • Four Great Ways to Speed Up Your Website Speed

    As a webpage developer, you should already notice that page loading time is becoming more and more important than ever before. It is quite usual that visitors will not turn away from your webpage if it cost them more than half a minute to get access to your website. What's more, the faster your pages load, the more likely the search engines will be index deeper into your websites pages and give your website a better search engine ranking.

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  • Search Engine Optimization For Great Search Engine Placement!

    Do you do enough search engine optimization to get the search engine placement that you want for the keywords that you want to rank for? If not then read on and I will give you information that you need to know to start getting those rankings that you want, and start receiving traffic! There are a few things I will be going over in this article.

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  • Iron Speed Designer 7.0 - the great gets greater!

    - by GGBlogger
    For Immediate Release Iron Speed, Inc. Kelly Fisher +1 (408) 228-3436 [email protected] http://www.ironspeed.com       Iron Speed Version 7.0 Generates SharePoint Applications New! Support for Microsoft SharePoint speeds application generation and deployment   San Jose, CA – June 8, 2010. Software development tools-maker Iron Speed, Inc. released Iron Speed Designer Version 7.0, the latest version of its popular Web 2.0 application generator. Iron Speed Designer generates rich, interactive database and reporting applications for .NET, Microsoft SharePoint and the Cloud.    In addition to .NET applications, Iron Speed Designer V7.0 generates database-driven SharePoint applications. The ability to quickly create database-driven applications for SharePoint eliminates a lot of work, helping IT departments generate productivity-enhancing applications in just a few hours.  Generated applications include integrated SharePoint application security and use SharePoint master pages.    “It’s virtually impossible to build database-driven application in SharePoint by hand. Iron Speed Designer V7.0 not only makes this possible, the tool makes it easy.” – Razi Mohiuddin, President, Iron Speed, Inc.     Integrated SharePoint application security Generated applications include integrated SharePoint application security. SharePoint sites and their groups are used to retrieve security roles. Iron Speed Designer validates the user against a Microsoft SharePoint server on your network by retrieving the logged in user’s credentials from the SharePoint Context.    “The Iron Speed Designer generated application integrates seamlessly with SharePoint security, removing the hassle of designing, testing and approving your own security layer.” -Michael Landi, Solutions Architect, Light Speed Solutions     SharePoint Solution Packages Iron Speed Designer V7.0 creates SharePoint Solution Packages (WSPs) for easy application deployment. Using the Deployment Wizard, a single application WSP is created and can be deployed to your SharePoint server.   “Iron Speed Designer is the first product on the market that allows easy and painless deployment of database-driven .NET web applications inside the SharePoint environment.” -Bryan Patrick, Developer, Pseudo Consulting     SharePoint master pages and themes In V7.0, generated applications use SharePoint master pages and contain the same content as other SharePoint pages. Generated applications use the current SharePoint color scheme and display standard SharePoint navigation controls on each page.   “Iron Speed Designer preserves the look and feel of the SharePoint environment in deployed database applications without additional hand-coding.” -Kirill Dmitriev, Software Developer, Iron Speed, Inc.     Iron Speed Designer Version 7.0 System Requirements Iron Speed Designer Version 7.0 runs on Microsoft Windows 7, Windows Vista, Windows XP, and Windows Server 2003 and 2008. It generates .NET Web applications for Microsoft SQL Server, Oracle, Microsoft Access and MySQL. These applications may be deployed on any machine running the .NET Framework. Iron Speed Designer supports Microsoft SharePoint 2007 and Windows SharePoint Services (WSS3). Find complete information about Iron Speed Designer Version 7.0 at www.ironspeed.com.     About Iron Speed, Inc. Iron Speed is the leader in enterprise-class application generation. Our software development tools generate database and reporting applications in significantly less time and cost than hand-coding. Our flagship product, Iron Speed Designer, is the fastest way to deliver applications for the Microsoft .NET and software-as-a-service cloud computing environments.   With products built on decades of experience in enterprise application development and large-scale e-commerce systems, Iron Speed products eliminate the need for developers to choose between "full featured" and "on schedule."   Founded in 1999, Iron Speed is well funded with a capital base of over $20M and strategic investors that include Arrow Electronics and Avnet, as well as executives from AMD, Excelan, Onsale, and Oracle. The company is based in San Jose, Calif., and is located online at www.ironspeed.com.

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  • Integrating Social, Marketing, and Loyalty to Deliver Great Customer Experiences

    - by Charles Knapp
    Eighty nine percent of consumers quit a brand after one bad experience. With the high cost of acquiring new customers, what can brand leaders do? At the Loyalty World Conference this week in London, global business leaders such as the co-founder of Ben & Jerry’s shared the latest in how to retain customers and boost advocacy. Melissa Boxer and Sundar Swaminathan of Oracle shared that by taking an outside-in approach, you can deliver a differentiated, loyalty-building experience throughout the customer lifecycle, from researching and selecting through to using and recommending. To transform customer experiences, you need to integrate your brand’s social, marketing, and loyalty functions from the commonplace silos. Three key strategies: Know more and understand, unifying and capturing insights across touch points to better understand who to serve, how to serve, and when to serve.  Connect and engage across social and traditional channels, empowering a relationship ecosystem between social communities, customers, and employees. Make the personalized experience easy and rewarding. Visit us on twitter.com/oraclecrm to learn more useful highlights from the #lwconf conference.

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  • Great ADF Content at Collaborate 12

    - by Shay Shmeltzer
    If you are attending the Collaborate 12 conference this month in Las Vegas and you are interested in Oracle ADF you are going to be very busy. There are more than 20 sessions covering ADF and a special Wednesday ADF Enterprise Methodology Group event focused on ADF. Session range from how to get started to deep technical dives and real world war stories of customers and their implementations. Also don't forget to drop by the Oracle ADF booth at the Oracle Demoground and say hello. Here is a quick list of session that list ADF as a keyword in their content: Sun. Apr. 22 9613 A Fusion Approach to Building Unified and Scalable Applications With Rich User Experience 1:00 pm - 2:00 pm Mon. Apr. 23 669 Fusion DBA Boot Camp: Tailoring Your Application to Customer Needs in a Upgrade-safe Way - Support in ADF and Fusion Apps 9:45 am - 10:45 am Mon. Apr. 23 438 Oracle Fusion Applications Security 9:45 am - 10:45 am Mon. Apr. 23 176 How to get started with Oracle ADF 12:15 pm - 12:45 pm Mon. Apr. 23 330 Fusion DBA Boot Camp: Implementing Self-Service Portals for Partners/Distributors Using EBS/WebCenter/Fusion Technologies 1:15 pm - 2:15 pm Mon. Apr. 23 288 Working with Portlets in ADF and Webcenter 2:30 pm - 3:30 pm Tue. Apr. 24 503 Who’s Converting My Portal? 2:00 pm - 3:00 pm Tue. Apr. 24 9370 Coexistence of Oracle E-Business Suite and Oracle Fusion Applications: Platform Perspective 2:00 pm - 3:00 pm Wed. Apr. 25 647 Developing Custom BI Solutions - OBIEE vs. Oracle Application Development Framework (ADF) 9:30 am - 10:30 am Wed. Apr. 25 173 ADF: A Path to the Future for Dinosaur Nerds 11:00 am - 12:00 pm Wed. Apr. 25 581 How Will You Build Your Next System? 11:00 am - 12:00 pm Wed. Apr. 25 10351 Integrating CRM On Demand With the E-Business Suite to Supercharge Your Sales Team 1:00 pm - 2:00 pm Wed. Apr. 25 9348 Mobile,ADF, Coherence and Live Data Streaming? A Herbalife Case Study 1:00 pm - 2:00 pm Wed. Apr. 25 566 Getting Started with ADF 1:00 pm - 2:00 pm Wed. Apr. 25 775 WebCenter Portal Template Design and Development Best Practices 1:00 pm - 2:00 pm Wed. Apr. 25 791 Surfacing Oracle Social Network into Your Business Applications 1:00 pm - 2:00 pm Wed. Apr. 25 9407 The Latest Oracle E-Business Suite Release User Interface and Usability Enhancements 1:00 pm - 2:00 pm Wed. Apr. 25 100080 Extending JD Edwards with Oracle ADF and Oracle SOA Suite 3:00 pm - 4:00 pm Wed. Apr. 25 172 JDeveloper ADF and the Oracle database – friends not foes 3:00 pm - 4:00 pm Wed. Apr. 25 595 Achieving Real-Time Social Collaboration in WebCenter 11g 3:00 pm - 4:00 pm Wed. Apr. 25 164 ADF + Faces: Do I Have to Write ANY Java code? 4:15 pm - 5:15 pm Thu. Apr. 26 257 Mobile App Development with Oracle ADF Mobile: develop once and for all 8:30 am - 9:30 am Thu. Apr. 26 177 Understanding Oracle ADF and its role in Oracle Fusion Middleware 9:45 am - 10:45 am Thu. Apr. 26 523 Making Next-Generation Mobile Apps With The Latest ADF Mobile Tools 9:45 am - 10:45 am Thu. Apr. 26 356 ADF Integration with WebCenter Content 11:00 am - 12:00 pm

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  • Go Big or Go Special

    - by Ajarn Mark Caldwell
    Watching Shark Tank tonight and the first presentation was by Mango Mango Preserves and it highlighted an interesting contrast in business trends today and how to capitalize on opportunities.  <Spoiler Alert> Even though every one of the sharks was raving about the product samples they tried, with two of them going for second and third servings, none of them made a deal to invest in the company.</Spoiler>  In fact, one of the sharks, Kevin O’Leary, kept ripping into the owners with statements to the effect that he thinks they are headed over a financial cliff because he felt their costs were way out of line and would be their downfall if they didn’t take action to radically cut costs. He said that he had previously owned a jams and jellies business and knew the cost ratios that you had to have to make it work.  I don’t doubt he knows exactly what he’s talking about and is 100% accurate…for doing business his way, which I’ll call “Go Big”.  But there’s a whole other way to do business today that would be ideal for these ladies to pursue. As I understand it, based on his level of success in various businesses and the fact that he is even in a position to be investing in other companies, Kevin’s approach is to go mass market (Go Big) and make hundreds of millions of dollars in sales (or something along that scale) while squeezing out every ounce of cost that you can to produce an acceptable margin.  But there is a very different way of making a very successful business these days, which is all about building a passionate and loyal community of customers that are rooting for your success and even actively trying to help you succeed by promoting your product or company (Go Special).  This capitalizes on the power of social media, niche marketing, and The Long Tail.  One of the most prolific writers about capitalizing on this trend is Seth Godin, and I hope that the founders of Mango Mango pick up a couple of his books (probably Purple Cow and Tribes would be good starts) or at least read his blog.  I think the adoration expressed by all of the sharks for the product is the biggest hint that they have a remarkable product and that they are perfect for this type of business approach. Both are completely valid business models, and it may certainly be that the scale at which Kevin O’Leary wants to conduct business where he invests his money is well beyond the long tail, but that doesn’t mean that there is not still a lot of money to be made there.  I wish them the best of luck with their endeavors!

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  • Is it wise to store a big lump of json on a database row

    - by Ieyasu Sawada
    I have this project which stores product details from amazon into the database. Just to give you an idea on how big it is: [{"title":"Genetic Engineering (Opposing Viewpoints)","short_title":"Genetic Engineering ...","brand":"","condition":"","sales_rank":"7171426","binding":"Book","item_detail_url":"http://localhost/wordpress/product/?asin=0737705124","node_list":"Books > Science & Math > Biological Sciences > Biotechnology","node_category":"Books","subcat":"","model_number":"","item_url":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/ecom_redirector.php?id=128","details_url":"http://localhost/wordpress/product/?asin=0737705124","large_image":"http://localhost/wordpress/wp-content/plugins/ecom/img/large-notfound.png","medium_image":"http://localhost/wordpress/wp-content/plugins/ecom/img/medium-notfound.png","small_image":"http://localhost/wordpress/wp-content/plugins/ecom/img/small-notfound.png","thumbnail_image":"http://localhost/wordpress/wp-content/plugins/ecom/img/thumbnail-notfound.png","tiny_img":"http://localhost/wordpress/wp-content/plugins/ecom/img/tiny-notfound.png","swatch_img":"http://localhost/wordpress/wp-content/plugins/ecom/img/swatch-notfound.png","total_images":"6","amount":"33.70","currency":"$","long_currency":"USD","price":"$33.70","price_type":"List Price","show_price_type":"0","stars_url":"","product_review":"","rating":"","yellow_star_class":"","white_star_class":"","rating_text":" of 5","reviews_url":"","review_label":"","reviews_label":"Read all ","review_count":"","create_review_url":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/ecom_redirector.php?id=132","create_review_label":"Write a review","buy_url":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/ecom_redirector.php?id=19186","add_to_cart_action":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/add_to_cart.php","asin":"0737705124","status":"Only 7 left in stock.","snippet_condition":"in_stock","status_class":"ninstck","customer_images":["http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/51M2vvFvs2BL.jpg","http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/31FIM-YIUrL.jpg","http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/51M2vvFvs2BL.jpg","http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/51M2vvFvs2BL.jpg"],"disclaimer":"","item_attributes":[{"attr":"Author","value":"Greenhaven Press"},{"attr":"Binding","value":"Hardcover"},{"attr":"EAN","value":"9780737705126"},{"attr":"Edition","value":"1"},{"attr":"ISBN","value":"0737705124"},{"attr":"Label","value":"Greenhaven Press"},{"attr":"Manufacturer","value":"Greenhaven Press"},{"attr":"NumberOfItems","value":"1"},{"attr":"NumberOfPages","value":"224"},{"attr":"ProductGroup","value":"Book"},{"attr":"ProductTypeName","value":"ABIS_BOOK"},{"attr":"PublicationDate","value":"2000-06"},{"attr":"Publisher","value":"Greenhaven Press"},{"attr":"SKU","value":"G0737705124I2N00"},{"attr":"Studio","value":"Greenhaven Press"},{"attr":"Title","value":"Genetic Engineering (Opposing Viewpoints)"}],"customer_review_url":"http://localhost/wordpress/wp-content/ecom-customer-reviews/0737705124.html","flickr_results":["http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/5105560852_06c7d06f14_m.jpg"],"freebase_text":"No around the web data available yet","freebase_image":"http://localhost/wordpress/wp-content/plugins/ecom/img/freebase-notfound.jpg","ebay_related_items":[{"title":"Genetic Engineering (Introducing Issues With Opposing Viewpoints), , Good Book","image":"http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/140.jpg","url":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/ecom_redirector.php?id=12165","currency_id":"$","current_price":"26.2"},{"title":"Genetic Engineering Opposing Viewpoints by DAVID BENDER - 1964 Hardcover","image":"http://localhost/wordpress/wp-content/uploads/2013/10/ecom_images/140.jpg","url":"http://localhost/wordpress/wp-content/ecom-plugin-redirects/ecom_redirector.php?id=130","currency_id":"AUD","current_price":"11.99"}],"no_follow":"rel=\"nofollow\"","new_tab":"target=\"_blank\"","related_products":[],"super_saver_shipping":"","shipping_availability":"","total_offers":"7","added_to_cart":""}] So the structure for the table is: asin title details (the product details in json) Will the performance suffer if I have to store like 10,000 products? Is there any other way of doing this? I'm thinking of the following, but the current setup is really the most convenient one since I also have to use the data on the client side: store the product details in a file. So something like ASIN123.json store the product details in one big file. (I'm guessing it will be a drag to extract data from this file) store each of the fields in the details in its own table field Thanks in advance!

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  • The Great Ball Contraption: A Massive Automated LEGO Construction

    - by Jason Fitzpatrick
    This massive LEGO construction combines 17 distinct modules into a lengthy factory-like conveyance system for five hundred LEGO balls. The variety and creativity of the methods employed is, dare we say, dazzling. Slotted robotic arms? Screw lifts? Handshake object transfers? Catapults that shoot baskets? The sheer number of creative and novel solutions LEGO builder Akiyuky employs to move the balls through his machine left us mesmerized for the whole seven minute video. Akiyuky’s LEGO Blog (Google Translate Interpreted)[via Make] How To Create a Customized Windows 7 Installation Disc With Integrated Updates How to Get Pro Features in Windows Home Versions with Third Party Tools HTG Explains: Is ReadyBoost Worth Using?

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