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• Ajax Control Toolkit and Superexpert

  - by Stephen Walther

  Microsoft has asked my company, Superexpert Consulting, to take ownership of the development and maintenance of the Ajax Control Toolkit moving forward. In this blog entry, I discuss our strategy for improving the Ajax Control Toolkit. Why the Ajax Control Toolkit? The Ajax Control Toolkit is one of the most popular projects on CodePlex. In fact, some have argued that it is among the most successful open-source projects of all time. It consistently receives over 3,500 downloads a day (not weekends -- workdays). A mind-boggling number of developers use the Ajax Control Toolkit in their ASP.NET Web Forms applications. Why does the Ajax Control Toolkit continue to be such a popular project? The Ajax Control Toolkit fills a strong need in the ASP.NET Web Forms world. The Toolkit enables Web Forms developers to build richly interactive JavaScript applications without writing any JavaScript. For example, by taking advantage of the Ajax Control Toolkit, a Web Forms developer can add modal dialogs, popup calendars, and client tabs to a web application simply by dragging web controls onto a page. The Ajax Control Toolkit is not for everyone. If you are comfortable writing JavaScript then I recommend that you investigate using jQuery plugins instead of the Ajax Control Toolkit. However, if you are a Web Forms developer and you don’t want to get your hands dirty writing JavaScript, then the Ajax Control Toolkit is a great solution. The Ajax Control Toolkit is Vast The Ajax Control Toolkit consists of 40 controls. That’s a lot of controls (For the sake of comparison, jQuery UI consists of only 8 controls – those slackers J). Furthermore, developers expect the Ajax Control Toolkit to work on browsers both old and new. For example, people expect the Ajax Control Toolkit to work with Internet Explorer 6 and Internet Explorer 9 and every version of Internet Explorer in between. People also expect the Ajax Control Toolkit to work on the latest versions of Mozilla Firefox, Apple Safari, and Google Chrome. And, people expect the Ajax Control Toolkit to work with different operating systems. Yikes, that is a lot of combinations. The biggest challenge which my company faces in supporting the Ajax Control Toolkit is ensuring that the Ajax Control Toolkit works across all of these different browsers and operating systems. Testing, Testing, Testing Because we wanted to ensure that we could easily test the Ajax Control Toolkit with different browsers, the very first thing that we did was to set up a dedicated testing server. The dedicated server -- named Schizo -- hosts 4 virtual machines so that we can run Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, and Internet Explorer 9 at the same time (We also use the virtual machines to host the latest versions of Firefox, Chrome, Opera, and Safari). The five developers on our team (plus me) can each publish to a separate FTP website on the testing server. That way, we can quickly test how changes to the Ajax Control Toolkit affect different browsers. QUnit Tests for the Ajax Control Toolkit Introducing regressions – introducing new bugs when trying to fix existing bugs – is the concern which prevents me from sleeping well at night. There are so many people using the Ajax Control Toolkit in so many unique scenarios, that it is difficult to make improvements to the Ajax Control Toolkit without introducing regressions. In order to avoid regressions, we decided early on that it was extremely important to build good test coverage for the 40 controls in the Ajax Control Toolkit. We’ve been focusing a lot of energy on building automated JavaScript unit tests which we can use to help us discover regressions. We decided to write the unit tests with the QUnit test framework. We picked QUnit because it is quickly becoming the standard unit testing framework in the JavaScript world. For example, it is the unit testing framework used by the jQuery team, the jQuery UI team, and many jQuery UI plugin developers. We had to make several enhancements to the QUnit framework in order to test the Ajax Control Toolkit. For example, QUnit does not support tests which include postbacks. We modified the QUnit framework so that it works with IFrames so we could perform postbacks in our automated tests. At this point, we have written hundreds of QUnit tests. For example, we have written 135 QUnit tests for the Accordion control. The QUnit tests are included with the Ajax Control Toolkit source code in a project named AjaxControlToolkit.Tests. You can run all of the QUnit tests contained in the project by opening the Default.aspx page. Automating the QUnit Tests across Multiple Browsers Automated tests are useless if no one ever runs them. In order for the QUnit tests to be useful, we needed an easy way to run the tests automatically against a matrix of browsers. We wanted to run the unit tests against Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, Internet Explorer 9, Firefox, Chrome, and Safari automatically. Expecting a developer to run QUnit tests against every browser after every check-in is just too much to expect. It takes 20 seconds to run the Accordion QUnit tests. We are testing against 8 browsers. That would require the developer to open 8 browsers and wait for the results after each change in code. Too much work. Therefore, we built a JavaScript Test Server. Our JavaScript Test Server project was inspired by John Resig’s TestSwarm project. The JavaScript Test Server runs our QUnit tests in a swarm of browsers (running on different operating systems) automatically. Here’s how the JavaScript Test Server works: 1. We created an ASP.NET page named RunTest.aspx that constantly polls the JavaScript Test Server for a new set of QUnit tests to run. After the RunTest.aspx page runs the QUnit tests, the RunTest.aspx records the test results back to the JavaScript Test Server. 2. We opened the RunTest.aspx page on instances of Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, Internet Explorer 9, FireFox, Chrome, Opera, Google, and Safari. Now that we have the JavaScript Test Server setup, we can run all of our QUnit tests against all of the browsers which we need to support with a single click of a button. A New Release of the Ajax Control Toolkit Each Month The Ajax Control Toolkit Issue Tracker contains over one thousand five hundred open issues and feature requests. So we have plenty of work on our plates J At CodePlex, anyone can vote for an issue to be fixed. Originally, we planned to fix issues in order of their votes. However, we quickly discovered that this approach was inefficient. Constantly switching back and forth between different controls was too time-consuming. It takes time to re-familiarize yourself with a control. Instead, we decided to focus on two or three controls each month and really focus on fixing the issues with those controls. This way, we can fix sets of related issues and avoid the randomization caused by context switching. Our team works in monthly sprints. We plan to do another release of the Ajax Control Toolkit each and every month. So far, we have competed one release of the Ajax Control Toolkit which was released on April 1, 2011. We plan to release a new version in early May. Conclusion Fortunately, I work with a team of smart developers. We currently have 5 developers working on the Ajax Control Toolkit (not full-time, they are also building two very cool ASP.NET MVC applications). All the developers who work on our team are required to have strong JavaScript, jQuery, and ASP.NET MVC skills. In the interest of being as transparent as possible about our work on the Ajax Control Toolkit, I plan to blog frequently about our team’s ongoing work. In my next blog entry, I plan to write about the two Ajax Control Toolkit controls which are the focus of our work for next release.

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• EM12c Release 4: New EMCLI Verbs

  - by SubinDaniVarughese

  Here are the new EM CLI verbs in Enterprise Manager 12c Release 4 (12.1.0.4). This helps you in writing new scripts or enhancing your existing scripts for further automation. Basic Administration Verbs invoke_ws - Invoke EM web service.ADM Verbs associate_target_to_adm - Associate a target to an application data model. export_adm - Export Application Data Model to a specified .xml file. import_adm - Import Application Data Model from a specified .xml file. list_adms - List the names, target names and application suites of existing Application Data Models verify_adm - Submit an application data model verify job for the target specified.Agent Update Verbs get_agent_update_status -  Show Agent Update Results get_not_updatable_agents - Shows Not Updatable Agents get_updatable_agents - Show Updatable Agents update_agents - Performs Agent Update Prereqs and submits Agent Update JobBI Publisher Reports Verbs grant_bipublisher_roles - Grants access to the BI Publisher catalog and features. revoke_bipublisher_roles - Revokes access to the BI Publisher catalog and features.Blackout Verbs create_rbk - Create a Retro-active blackout.CFW Verbs cancel_cloud_service_requests -  To cancel cloud service requests delete_cloud_service_instances -  To delete cloud service instances delete_cloud_user_objects - To delete cloud user objects. get_cloud_service_instances - To get information about cloud service instances get_cloud_service_requests - To get information about cloud requests get_cloud_user_objects - To get information about cloud user objects.Chargeback Verbs add_chargeback_entity - Adds the given entity to Chargeback. assign_charge_plan - Assign a plan to a chargeback entity. assign_cost_center - Assign a cost center to a chargeback entity. create_charge_entity_type - Create  charge entity type export_charge_plans - Exports charge plans metadata to file export_custom_charge_items -  Exports user defined charge items to a file import_charge_plans - Imports charge plans metadata from given file import_custom_charge_items -  Imports user defined charge items metadata from given file list_charge_plans - Gives a list of charge plans in Chargeback. list_chargeback_entities - Gives a list of all the entities in Chargeback list_chargeback_entity_types - Gives a list of all the entity types that are supported in Chargeback list_cost_centers - Lists the cost centers in Chargeback. remove_chargeback_entity - Removes the given entity from Chargeback. unassign_charge_plan - Un-assign the plan associated to a chargeback entity. unassign_cost_center - Un-assign the cost center associated to a chargeback entity.Configuration/Association History disable_config_history - Disable configuration history computation for a target type. enable_config_history - Enable configuration history computation for a target type. set_config_history_retention_period - Sets the amount of time for which Configuration History is retained.ConfigurationCompare config_compare - Submits the configuration comparison job get_config_templates - Gets all the comparison templates from the repositoryCompliance Verbs fix_compliance_state -  Fix compliance state by removing references in deleted targets.Credential Verbs update_credential_setData Subset Verbs export_subset_definition - Exports specified subset definition as XML file at specified directory path. generate_subset - Generate subset using specified subset definition and target database. import_subset_definition - Import a subset definition from specified XML file. import_subset_dump - Imports dump file into specified target database. list_subset_definitions - Get the list of subset definition, adm and target nameDelete pluggable Database Job Verbs delete_pluggable_database - Delete a pluggable databaseDeployment Procedure Verbs get_runtime_data - Get the runtime data of an executionDiscover and Push to Agents Verbs generate_discovery_input - Generate Discovery Input file for discovering Auto-Discovered Domains refresh_fa - Refresh Fusion Instance run_fa_diagnostics - Run Fusion Applications DiagnosticsFusion Middleware Provisioning Verbs create_fmw_domain_profile - Create a Fusion Middleware Provisioning Profile from a WebLogic Domain create_fmw_home_profile - Create a Fusion Middleware Provisioning Profile from an Oracle Home create_inst_media_profile - Create a Fusion Middleware Provisioning Profile from Installation MediaGold Agent Image Verbs create_gold_agent_image - Creates a gold agent image. decouple_gold_agent_image - Decouples the agent from gold agent image. delete_gold_agent_image - Deletes a gold agent image. get_gold_agent_image_activity_status -  Gets gold agent image activity status. get_gold_agent_image_details - Get the gold agent image details. list_agents_on_gold_image - Lists agents on a gold agent image. list_gold_agent_image_activities - Lists gold agent image activities. list_gold_agent_image_series - Lists gold agent image series. list_gold_agent_images - Lists the available gold agent images. promote_gold_agent_image - Promotes a gold agent image. stage_gold_agent_image - Stages a gold agent image.Incident Rules Verbs add_target_to_rule_set - Add a target to an enterprise rule set. delete_incident_record - Delete one or more open incidents remove_target_from_rule_set - Remove a target from an enterprise rule set. Job Verbs export_jobs - Export job details in to an xml file import_jobs - Import job definitions from an xml file job_input_file - Supply details for a job verb in a property file resume_job - Resume a job or set of jobs suspend_job - Suspend a job or set of jobs Oracle Database as Service Verbs config_db_service_target - Configure DB Service target for OPCPrivilege Delegation Settings Verbs clear_default_privilege_delegation_setting - Clears the default privilege delegation setting for a given list of platforms set_default_privilege_delegation_setting - Sets the default privilege delegation setting for a given list of platforms test_privilege_delegation_setting - Tests a Privilege Delegation Setting on a hostSSA Verbs cleanup_dbaas_requests - Submit cleanup request for failed request create_dbaas_quota - Create Database Quota for a SSA User Role create_service_template - Create a Service Template delete_dbaas_quota - Delete the Database Quota setup for a SSA User Role delete_service_template - Delete a given service template get_dbaas_quota - List the Database Quota setup for all SSA User Roles get_dbaas_request_settings - List the Database Request Settings get_service_template_detail - Get details of a given service template get_service_templates -  Get the list of available service templates rename_service_template -  Rename a given service template update_dbaas_quota - Update the Database Quota for a SSA User Role update_dbaas_request_settings - Update the Database Request Settings update_service_template -  Update a given service template. SavedConfigurations get_saved_configs  - Gets the saved configurations from the repository Server Generated Alert Metric Verbs validate_server_generated_alerts  - Server Generated Alert Metric VerbServices Verbs edit_sl_rule - Edit the service level rule for the specified serviceSiebel Verbs list_siebel_enterprises -  List Siebel enterprises currently monitored in EM list_siebel_servers -  List Siebel servers under a specified siebel enterprise update_siebel- Update a Siebel enterprise or its underlying serversSiteGuard Verbs add_siteguard_aux_hosts -  Associate new auxiliary hosts to the system configure_siteguard_lag -  Configure apply lag and transport lag limit for databases delete_siteguard_aux_host -  Delete auxiliary host associated with a site delete_siteguard_lag -  Erases apply lag or transport lag limit for databases get_siteguard_aux_hosts -  Get all auxiliary hosts associated with a site get_siteguard_health_checks -  Shows schedule of health checks get_siteguard_lag -  Shows apply lag or transport lag limit for databases schedule_siteguard_health_checks -  Schedule health checks for an operation plan stop_siteguard_health_checks -  Stops all future health check execution of an operation plan update_siteguard_lag -  Updates apply lag and transport lag limit for databasesSoftware Library Verbs stage_swlib_entity_files -  Stage files of an entity from Software Library to a host target.Target Data Verbs create_assoc - Creates target associations delete_assoc - Deletes target associations list_allowed_pairs - Lists allowed association types for specified source and destination list_assoc - Lists associations between source and destination targets manage_agent_partnership - Manages partnership between agents. Used for explicitly assigning agent partnershipsTrace Reports generate_ui_trace_report  -  Generate and download UI Page performance report (to identify slow rendering pages)VI EMCLI Verbs add_virtual_platform - Add Oracle Virtual PLatform(s). modify_virtual_platform - Modify Oracle Virtual Platform.To get more details about each verb, execute$ emcli help <verb_name>Example: $ emcli help list_assocNew resources in list verbThese are the new resources in EM CLI list verb :Certificates  WLSCertificateDetails Credential Resource Group  PreferredCredentialsDefaultSystemScope - Preferred credentials (System Scope)   PreferredCredentialsSystemScope - Target preferred credentialPrivilege Delegation Settings  TargetPrivilegeDelegationSettingDetails  - List privilege delegation setting details on a host  TargetPrivilegeDelegationSetting - List privilege delegation settings on a host   PrivilegeDelegationSettings  - Lists all Privilege Delegation Settings   PrivilegeDelegationSettingDetails - Lists details of  Privilege Delegation Settings To get more details about each resource, execute$ emcli list -resource="<resource_name>" -helpExample: $ emcli list -resource="PrivilegeDelegationSettings" -helpDeprecated Verbs:Agent Administration Verbs resecure_agent - Resecure an agentTo get the complete list of verbs, execute:$ emcli help Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter Download the Oracle Enterprise Manager 12c Mobile app

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• Prioritizing Product Features

  - by Robert May

  A very common task in Agile Environments is prioritization.  Teams that are functioning well will prioritize new features, old features, the backlog, and any other source of stories for the team, and they’ll do it regularly. Not all teams are good at prioritizing according to the real return on investment that building stories will yield to the company.  This is unfortunate.  Too often, teams end up building features that are less valuable, and everyone seems to know it except perhaps the product owner!  Most features built into software are never even used.  Clearly, not much return for features that go unused. So how does a company avoid building features that add little value to the company?  This is a tough question to answer, but usually, this prioritization starts at the top with the executives of the company.  After all, they’re responsible for the overall vision of the company. Here’s what I recommend: Know your market. Know your customers and users. Know where you’re going and what you want to achieve. Implement the Vision Know Your Market We often see companies that don’t know their market.  Personally, I’m surprised by this.  These companies don’t know who their competitors are, don’t know what features make their product desirable in the market, and in many cases, get by with saying, “I’ve been doing this for XX years.  I know what the market wants!”  In many cases, they equate “marketing” with “advertising” and don’t understand the difference. This is almost never true.  Good companies will spend significant amounts of time and money finding out who they’re competing against and what makes their competitors successful in the marketplace.  Good companies understand that marketing involves more than just advertising.  Often, marketing is mostly research and analysis, not sales.  Until you understand your market, you cannot know what features will give you the best return on your investment dollar. Good companies have a marketing department and can answer the next important step which is to know your customers and your users. Know your Customers and Users First, note that I included both customers and users.  They’re often not the same thing.  Users use the product that you build.  Customers buy the product that you build.  It’s a subtle difference, but too often, I’ve seen companies that focus exclusively on one or the other and are not successful simply because they ignore an important part of the group. If your company is doing appropriate marketing, you know that these are two different aspects of your product and that both deserve attention to have a product that is successful in your target market.  Your marketing department should be spending a lot of time understanding these personas and then conveying that information to the company. I’m always surprised when development teams think that they can build a product that people want to use without understanding the users of that product.  Developers think differently than most people in the world.  They know what the computer is doing.  The computer isn’t magic to them.  So when they assume that they know how to build something, they bring with them quite a bit of baggage.  Never assume that you know your customer unless you’re regularly having interaction with them.  Also, don’t just leave this to Marketing or Product Management.  Take them time to get your developers out with the customers as well.  Developers are very smart people, and often, seeing how someone uses their software inspires them to make a much better product. Very often, because the users and customers aren’t know, teams will spend a significant amount of time building apps that are super flexible and configurable so that any possible combination of feature can be used.  This demonstrates a clear lack of understanding of the customer.  Most configuration questions can quickly be answered by talking to the customer.  In most cases, if your software requires significant setup and configuration before its usable, you probably don’t know your customers and users very well. Until you know your customers, you cannot know what features will be most valuable to your customers and you cannot build those features in a way that your customers can use. Know Where You’re Going and What You Want to Achieve Many companies suffer from not having a plan.  Executives will tell the team to make them a plan.  The team, not knowing their market and customers and users, will come up with a plan that doesn’t reflect reality and doesn’t consider ROI.  Management then wonders why the product is doing poorly in the market place. Instead of leaving this up to the teams, as executives, work with Marketing to understand what broad categories of features will sell the most product in the marketplace.  Then, once you’ve determined that, give this vision to the team and let them run with it.  Revise the vision as needed, but avoid changing streams frequently.  Sure, sometimes you need to, but often, executives will change priorities many times a month, leading to nothing more than confusion.  If the team has a vision, they’ll be able to execute that vision far better than they could otherwise. By knowing what products are most important, you can set budgetary goals and guidelines that will help you achieve the vision that was created. Implement the Vision Creating the vision is often where the general executives stop participating in the plan.  The team is responsible for implementing that vision.  Executives should attend showcases and and should remain aware of the progress that the team is making towards meeting the vision, however. Once a broad vision has been created, the team should break that vision down into minimal market features (MMF).  These MMFs should be sized using story points so that, using the team’s velocity, an estimated cost can be determined for each feature.  The product management team should then try to quantify the relative value of the MMFs based on customer feedback and interviews.  Once the value and cost of creating the feature is understood, a return on investment can be calculated.  The features should then be prioritized with the MMF’s that have the highest value and lowest cost rising to the top of features to implement.  Don’t let politics get in the way! Once the MMF’s have been prioritized, they should go through release planning to schedule them for implementation. Conclusion By having a good grasp on the strategy of the company, your Agile teams can be much more effective.  Each and every story the team is implementing will roll up into features that matter to the company and provide ROI to them.  The steps outlined in this post should be repeated on a regular basis.  I recommend reviewing them at least once per quarter to make sure that the vision hasn’t shifted and that the teams are still working on what matters most to the company. Technorati Tags: Agile,Product Owner,ROI

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• CodePlex Daily Summary for Saturday, March 20, 2010

  CodePlex Daily Summary for Saturday, March 20, 2010New ProjectsaMaze Mapa Generator: Parte do Projeto aMazeASP.Net RIA Controls: Simple ASP.Net server controls to integrate Flash and Silverlight controls into your web applications. Included controls don't use any JavaScript,...BMap.NET: BMaps.NET is a .NET application written in C#, for access Bing Maps from your computer without web browsers. With it you can access to Bing Maps an...DaliNet: A .NET API for the Tridonic.Atco DALI USB device.Fabrica7: This is the main project of Fabrica 7 Corp.Image Ripper: A Winform application parse & fetch various HD pictures in specific photo galleries.IoCWrap: Provides interfaces which wrap various IoC container implementations so that it is possible to switch to a different provider without changing any ...NetSockets: NetSockets is a .NET class library that provides easy-to-use, multi-threaded, event-based, client and server network communication.Network Backup: Network Backup is a home and small company backup solution for workstations and a backup server. It incorporates a backup service, scheduler, data ...NUnit.Specs: Specification extensions for NUnit.Nutrivida: Sistema para avaliação de especialização.OHTB Snake: OHTB Snake is a multiplayer game. In this incarnation, snakes may eat 3 types of powerups: standard berries, causing them to grow; sawberries, caus...Playground TDrouen: Tjerk's PlaygroundPower Plan Chooser: This is my first endeavor into a C# Windows application with XAML. The program sits in the notification area (task bar) and lets you quickly activa...Search IMDB in C#: In lack of an IMDB API most of us resort to screen scraping utilities to query the Internet Movie Database. This one is written in C# (.NET 2.0 sta...SIGPRO Desktop: FUNCERNSql2008 PerfMonCounter Fix: Small console application to Fix the SQL 2008 Express Edition installation error: Pequena aplicação para Corrigir o seguinte erro de Instalação do...TwiztedTracker: TwiztedTracker designed to make your bug tracking easy.UmbracoXsltLogHelper: I needed a way to easily add log rows from my xslt macros, and added a single-line-extension for that reason. Then I played around with the umbraco...VisualStock: VisualStock is stock data visualization, analysis application build on the Micorsoft Composite Application Library.WHS File Mover: A Windows Home Server Plugin to move files from a local directory ("drop" or "staging" directory to a folder share)XML based Content Deployment in SharePoint: XML based Content Deployment in Sharepoint helps you to easy deploy content into SharePoint, including webs, lists, items, files and folder. You wi...New ReleasesASP.Net RIA Controls: Version 1.0 Beta: The first functionnal version.BMap.NET: BMap.NET 1: This is the 1st version of BMap.NETDigital Media Processing Project 1: Image Processor: Image Processor 1.0: All features implemented. Added: clipping imageFamily Tree Analyzer: Version 1.3.1.0: Version 1.3.1.0 Added a cancel button to marriage and children IGI Searches Opening Results window now automatically shows first record Updated IGI...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts 3.0.5 Released: Hi, This release contains fix for the following bug: * Chart threw exception if ZoomingEnabled property was set to True at real-time. You ca...Homework Helper: Homework Helper v.1.1: Sorry but the latest release didn't seem to be the latest. This should be the right one!Image Ripper: Image Ripper: Image Ripper based on HtmlAgilityPack and GData library.ManPowerEngine: 0.1: UpdatesSound System added. Bitmap Collider in Physics System works now. Improved the performance of HTTP download in images Physics Framework...NIPO Data Processing Component Framework: NIPO 1.0: The first release of NIPO. Includes the NIPO binary dll and documentation. This release does not include a starter application since it is still in...patterns & practices SharePoint Guidance: SPG2010 Drop7: SharePoint Guidance Drop Notes Microsoft patterns and practices ****************************************** ***************************************...Photosynth Point Cloud Exporter: Photosynth Point Cloud Exporter 1.0.2: Photosynth webservice reference updated to work with the new site OBJ file format support added (Note: this format doesn't support vertex colors)Power Plan Chooser: Power Plan Chooser 1.0.0: Power Plan Chooser is a small utility that sits in the notification area (task bar) in Windows 7 and allows the user to quickly activate one of the...Restart Explorer: RestartExplorer Release 1.00.0001: Initial release: Start, stop and restart Windows Explorer with this utility.Search IMDB in C#: Search IMDB 1.0: Source code included with compiled example.SIMD Detector: 3rd Release: Added Intel AES instruction check Added a CSharp Winform NetSIMDDetector application. Changes the red ball and green ball images to red cross a...Sql2008 PerfMonCounter Fix: Sql2008FIx_PerfMonCounter.zip: Small console application to Fix the SQL 2008 Express Edition installation error: http://support.microsoft.com/kb/300956 Rule Name PerfMonCounter...UmbracoXsltLogHelper: 0.9 Working Beta: First version. XsltLogHelper09 is the installable package.VCC: Latest build, v2.1.30319.0: Automatic drop of latest buildWCF RIA Services Contrib: RIA Services Contrib RC Release: This version is recompiled against the RC release of WCF RIA Services.XML based Content Deployment in SharePoint: SPContentDeployment 1.0.0.0: The first link contains the resources and a sample project. The second link contains everything included in the first package and an additional fo...Yet Another GPS: YAGPS Alfa.2: Yet another GPS tracker is a very powerful GPS track application for Windows Mobile Speed Guage, Sat Count number, KML for google map file formatZGuideTV.NET: ZGuideTV.NET 0.92: Vendredi 19 mars 2010 (ZGuideTV.NET bêta 9 build 0.92) - English below Corrections : - Gestion de certains contrôles dans l'écran principal. - Div...Most Popular ProjectsMetaSharpRawrWBFS ManagerSilverlight ToolkitASP.NET Ajax LibraryMicrosoft SQL Server Product Samples: DatabaseAJAX Control ToolkitLiveUpload to FacebookWindows Presentation Foundation (WPF)ASP.NETMost Active ProjectsLINQ to TwitterRawrOData SDK for PHPjQuery Library for SharePoint Web ServicesDirectQPHPExcelpatterns & practices – Enterprise LibraryBlogEngine.NETFarseer Physics EngineNB_Store - Free DotNetNuke Ecommerce Catalog Module

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• The SSIS tuning tip that everyone misses

  - by Rob Farley

  I know that everyone misses this, because I’m yet to find someone who doesn’t have a bit of an epiphany when I describe this. When tuning Data Flows in SQL Server Integration Services, people see the Data Flow as moving from the Source to the Destination, passing through a number of transformations. What people don’t consider is the Source, getting the data out of a database. Remember, the source of data for your Data Flow is not your Source Component. It’s wherever the data is, within your database, probably on a disk somewhere. You need to tune your query to optimise it for SSIS, and this is what most people fail to do. I’m not suggesting that people don’t tune their queries – there’s plenty of information out there about making sure that your queries run as fast as possible. But for SSIS, it’s not about how fast your query runs. Let me say that again, but in bolder text: The speed of an SSIS Source is not about how fast your query runs. If your query is used in a Source component for SSIS, the thing that matters is how fast it starts returning data. In particular, those first 10,000 rows to populate that first buffer, ready to pass down the rest of the transformations on its way to the Destination. Let’s look at a very simple query as an example, using the AdventureWorks database: We’re picking the different Weight values out of the Product table, and it’s doing this by scanning the table and doing a Sort. It’s a Distinct Sort, which means that the duplicates are discarded. It'll be no surprise to see that the data produced is sorted. Obvious, I know, but I'm making a comparison to what I'll do later. Before I explain the problem here, let me jump back into the SSIS world... If you’ve investigated how to tune an SSIS flow, then you’ll know that some SSIS Data Flow Transformations are known to be Blocking, some are Partially Blocking, and some are simply Row transformations. Take the SSIS Sort transformation, for example. I’m using a larger data set for this, because my small list of Weights won’t demonstrate it well enough. Seven buffers of data came out of the source, but none of them could be pushed past the Sort operator, just in case the last buffer contained the data that would be sorted into the first buffer. This is a blocking operation. Back in the land of T-SQL, we consider our Distinct Sort operator. It’s also blocking. It won’t let data through until it’s seen all of it. If you weren’t okay with blocking operations in SSIS, why would you be happy with them in an execution plan? The source of your data is not your OLE DB Source. Remember this. The source of your data is the NCIX/CIX/Heap from which it’s being pulled. Picture it like this... the data flowing from the Clustered Index, through the Distinct Sort operator, into the SELECT operator, where a series of SSIS Buffers are populated, flowing (as they get full) down through the SSIS transformations. Alright, I know that I’m taking some liberties here, because the two queries aren’t the same, but consider the visual. The data is flowing from your disk and through your execution plan before it reaches SSIS, so you could easily find that a blocking operation in your plan is just as painful as a blocking operation in your SSIS Data Flow. Luckily, T-SQL gives us a brilliant query hint to help avoid this. OPTION (FAST 10000) This hint means that it will choose a query which will optimise for the first 10,000 rows – the default SSIS buffer size. And the effect can be quite significant. First let’s consider a simple example, then we’ll look at a larger one. Consider our weights. We don’t have 10,000, so I’m going to use OPTION (FAST 1) instead. You’ll notice that the query is more expensive, using a Flow Distinct operator instead of the Distinct Sort. This operator is consuming 84% of the query, instead of the 59% we saw from the Distinct Sort. But the first row could be returned quicker – a Flow Distinct operator is non-blocking. The data here isn’t sorted, of course. It’s in the same order that it came out of the index, just with duplicates removed. As soon as a Flow Distinct sees a value that it hasn’t come across before, it pushes it out to the operator on its left. It still has to maintain the list of what it’s seen so far, but by handling it one row at a time, it can push rows through quicker. Overall, it’s a lot more work than the Distinct Sort, but if the priority is the first few rows, then perhaps that’s exactly what we want. The Query Optimizer seems to do this by optimising the query as if there were only one row coming through: This 1 row estimation is caused by the Query Optimizer imagining the SELECT operation saying “Give me one row” first, and this message being passed all the way along. The request might not make it all the way back to the source, but in my simple example, it does. I hope this simple example has helped you understand the significance of the blocking operator. Now I’m going to show you an example on a much larger data set. This data was fetching about 780,000 rows, and these are the Estimated Plans. The data needed to be Sorted, to support further SSIS operations that needed that. First, without the hint. ...and now with OPTION (FAST 10000): A very different plan, I’m sure you’ll agree. In case you’re curious, those arrows in the top one are 780,000 rows in size. In the second, they’re estimated to be 10,000, although the Actual figures end up being 780,000. The top one definitely runs faster. It finished several times faster than the second one. With the amount of data being considered, these numbers were in minutes. Look at the second one – it’s doing Nested Loops, across 780,000 rows! That’s not generally recommended at all. That’s “Go and make yourself a coffee” time. In this case, it was about six or seven minutes. The faster one finished in about a minute. But in SSIS-land, things are different. The particular data flow that was consuming this data was significant. It was being pumped into a Script Component to process each row based on previous rows, creating about a dozen different flows. The data flow would take roughly ten minutes to run – ten minutes from when the data first appeared. The query that completes faster – chosen by the Query Optimizer with no hints, based on accurate statistics (rather than pretending the numbers are smaller) – would take a minute to start getting the data into SSIS, at which point the ten-minute flow would start, taking eleven minutes to complete. The query that took longer – chosen by the Query Optimizer pretending it only wanted the first 10,000 rows – would take only ten seconds to fill the first buffer. Despite the fact that it might have taken the database another six or seven minutes to get the data out, SSIS didn’t care. Every time it wanted the next buffer of data, it was already available, and the whole process finished in about ten minutes and ten seconds. When debugging SSIS, you run the package, and sit there waiting to see the Debug information start appearing. You look for the numbers on the data flow, and seeing operators going Yellow and Green. Without the hint, I’d sit there for a minute. With the hint, just ten seconds. You can imagine which one I preferred. By adding this hint, it felt like a magic wand had been waved across the query, to make it run several times faster. It wasn’t the case at all – but it felt like it to SSIS.

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• The Presentation Isn't Over Until It's Over

  - by Phil Factor

  The senior corporate dignitaries settled into their seats looking important in a blue-suited sort of way. The lights dimmed as I strode out in front to give my presentation.  I had ten vital minutes to make my pitch.  I was about to dazzle the top management of a large software company who were considering the purchase of my software product. I would present them with a dazzling synthesis of diagrams, graphs, followed by  a live demonstration of my software projected from my laptop.  My preparation had been meticulous: It had to be: A year’s hard work was at stake, so I’d prepared it to perfection.  I stood up and took them all in, with a gaze of sublime confidence. Then the laptop expired. There are several possible alternative plans of action when this happens     A. Stare at the smoking laptop vacuously, flapping ones mouth slowly up and down     B. Stand frozen like a statue, locked in indecision between fright and flight.     C. Run out of the room, weeping     D. Pretend that this was all planned     E. Abandon the presentation in favour of a stilted and tedious dissertation about the software     F. Shake your fist at the sky, and curse the sense of humour of your preferred deity I started for a few seconds on plan B, normally referred to as the ‘Rabbit in the headlamps of the car’ technique. Suddenly, a little voice inside my head spoke. It spoke the famous inane words of Yogi Berra; ‘The game isn't over until it's over.’ ‘Too right’, I thought. What to do? I ran through the alternatives A-F inclusive in my mind but none appealed to me. I was completely unprepared for this. Nowadays, longevity has since taught me more than I wanted to know about the wacky sense of humour of fate, and I would have taken two laptops. I hadn’t, but decided to do the presentation anyway as planned. I started out ignoring the dead laptop, but pretending, instead that it was still working. The audience looked startled. They were expecting plan B to be succeeded by plan C, I suspect. They weren’t used to denial on this scale. After my introductory talk, which didn’t require any visuals, I came to the diagram that described the application I’d written.  I’d taken ages over it and it was hot stuff. Well, it would have been had it been projected onto the screen. It wasn’t. Before I describe what happened then, I must explain that I have thespian tendencies.  My  triumph as Professor Higgins in My Fair Lady at the local operatic society is now long forgotten, but I remember at the time of my finest performance, the moment that, glancing up over the vast audience of  moist-eyed faces at the during the poignant  scene between Eliza and Higgins at the end, I  realised that I had a talent that one day could possibly  be harnessed for commercial use I just talked about the diagram as if it was there, but throwing in some extra description. The audience nodded helpfully when I’d done enough. Emboldened, I began a sort of mime, well, more of a ballet, to represent each slide as I came to it. Heaven knows I’d done my preparation and, in my mind’s eye, I could see every detail, but I had to somehow project the reality of that vision to the audience, much the same way any actor playing Macbeth should do the ghost of Banquo.  My desperation gave me a manic energy. If you’ve ever demonstrated a windows application entirely by mime, gesture and florid description, you’ll understand the scale of the challenge, but then I had nothing to lose. With a brief sentence of description here and there, and arms flailing whilst outlining the size and shape of  graphs and diagrams, I used the many tricks of mime, gesture and body-language  learned from playing Captain Hook, or the Sheriff of Nottingham in pantomime. I set out determinedly on my desperate venture. There wasn’t time to do anything but focus on the challenge of the task: the world around me narrowed down to ten faces and my presentation: ten souls who had to be hypnotized into seeing a Windows application:  one that was slick, well organized and functional I don’t remember the details. Eight minutes of my life are gone completely. I was a thespian berserker.  I know however that I followed the basic plan of building the presentation in a carefully controlled crescendo until the dazzling finale where the results were displayed on-screen.  ‘And here you see the results, neatly formatted and grouped carefully to enhance the significance of the figures, together with running trend-graphs!’ I waved a mime to signify an animated  window-opening, and looked up, in my first pause, to gaze defiantly  at the audience.  It was a sight I’ll never forget. Ten pairs of eyes were gazing in rapt attention at the imaginary window, and several pairs of eyes were glancing at the imaginary graphs and figures.  I hadn’t had an audience like that since my starring role in  Beauty and the Beast.  At that moment, I realized that my desperate ploy might work. I sat down, slightly winded, when my ten minutes were up.  For the first and last time in my life, the audience of a  ‘PowerPoint’ presentation burst into spontaneous applause. ‘Any questions?’ ‘Yes,  Have you got an agent?’ Yes, in case you’re wondering, I got the deal. They bought the software product from me there and then. However, it was a life-changing experience for me and I have never ever again trusted technology as part of a presentation.  Even if things can’t go wrong, they’ll go wrong and they’ll kill the flow of what you’re presenting.  if you can’t do something without the techno-props, then you shouldn’t do it.  The greatest lesson of all is that great presentations require preparation and  ‘stage-presence’ rather than fancy graphics. They’re a great supporting aid, but they should never dominate to the point that you’re lost without them.

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• When is a Seek not a Seek?

  - by Paul White

  The following script creates a single-column clustered table containing the integers from 1 to 1,000 inclusive. IF OBJECT_ID(N'tempdb..#Test', N'U') IS NOT NULL DROP TABLE #Test ; GO CREATE TABLE #Test ( id INTEGER PRIMARY KEY CLUSTERED ); ; INSERT #Test (id) SELECT V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 1000 ; Let’s say we need to find the rows with values from 100 to 170, excluding any values that divide exactly by 10.  One way to write that query would be: SELECT T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; That query produces a pretty efficient-looking query plan: Knowing that the source column is defined as an INTEGER, we could also express the query this way: SELECT T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; We get a similar-looking plan: If you look closely, you might notice that the line connecting the two icons is a little thinner than before.  The first query is estimated to produce 61.9167 rows – very close to the 63 rows we know the query will return.  The second query presents a tougher challenge for SQL Server because it doesn’t know how to predict the selectivity of the modulo expression (T.id % 10 > 0).  Without that last line, the second query is estimated to produce 68.1667 rows – a slight overestimate.  Adding the opaque modulo expression results in SQL Server guessing at the selectivity.  As you may know, the selectivity guess for a greater-than operation is 30%, so the final estimate is 30% of 68.1667, which comes to 20.45 rows. The second difference is that the Clustered Index Seek is costed at 99% of the estimated total for the statement.  For some reason, the final SELECT operator is assigned a small cost of 0.0000484 units; I have absolutely no idea why this is so, or what it models.  Nevertheless, we can compare the total cost for both queries: the first one comes in at 0.0033501 units, and the second at 0.0034054.  The important point is that the second query is costed very slightly higher than the first, even though it is expected to produce many fewer rows (20.45 versus 61.9167). If you run the two queries, they produce exactly the same results, and both complete so quickly that it is impossible to measure CPU usage for a single execution.  We can, however, compare the I/O statistics for a single run by running the queries with STATISTICS IO ON: Table '#Test'. Scan count 63, logical reads 126, physical reads 0. Table '#Test'. Scan count 01, logical reads 002, physical reads 0. The query with the IN list uses 126 logical reads (and has a ‘scan count’ of 63), while the second query form completes with just 2 logical reads (and a ‘scan count’ of 1).  It is no coincidence that 126 = 63 * 2, by the way.  It is almost as if the first query is doing 63 seeks, compared to one for the second query. In fact, that is exactly what it is doing.  There is no indication of this in the graphical plan, or the tool-tip that appears when you hover your mouse over the Clustered Index Seek icon.  To see the 63 seek operations, you have click on the Seek icon and look in the Properties window (press F4, or right-click and choose from the menu): The Seek Predicates list shows a total of 63 seek operations – one for each of the values from the IN list contained in the first query.  I have expanded the first seek node to show the details; it is seeking down the clustered index to find the entry with the value 101.  Each of the other 62 nodes expands similarly, and the same information is contained (even more verbosely) in the XML form of the plan. Each of the 63 seek operations starts at the root of the clustered index B-tree and navigates down to the leaf page that contains the sought key value.  Our table is just large enough to need a separate root page, so each seek incurs 2 logical reads (one for the root, and one for the leaf).  We can see the index depth using the INDEXPROPERTY function, or by using the a DMV: SELECT S.index_type_desc, S.index_depth FROM sys.dm_db_index_physical_stats ( DB_ID(N'tempdb'), OBJECT_ID(N'tempdb..#Test', N'U'), 1, 1, DEFAULT ) AS S ; Let’s look now at the Properties window when the Clustered Index Seek from the second query is selected: There is just one seek operation, which starts at the root of the index and navigates the B-tree looking for the first key that matches the Start range condition (id >= 101).  It then continues to read records at the leaf level of the index (following links between leaf-level pages if necessary) until it finds a row that does not meet the End range condition (id <= 169).  Every row that meets the seek range condition is also tested against the Residual Predicate highlighted above (id % 10 > 0), and is only returned if it matches that as well. You will not be surprised that the single seek (with a range scan and residual predicate) is much more efficient than 63 singleton seeks.  It is not 63 times more efficient (as the logical reads comparison would suggest), but it is around three times faster.  Let’s run both query forms 10,000 times and measure the elapsed time: DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON; SET STATISTICS XML OFF; ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; GO DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; On my laptop, running SQL Server 2008 build 4272 (SP2 CU2), the IN form of the query takes around 830ms and the range query about 300ms.  The main point of this post is not performance, however – it is meant as an introduction to the next few parts in this mini-series that will continue to explore scans and seeks in detail. When is a seek not a seek?  When it is 63 seeks © Paul White 2011 email: [email protected] twitter: @SQL_kiwi

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• DBA Best Practices - A Blog Series: Episode 1 - Backups

  - by Argenis

    This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups had completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

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• DBA Best Practices - A Blog Series: Episode 1 - Backups

  - by Argenis

    This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups have completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

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• The Security-Developer Gap: Why IT Security Can't Fix Your Security Problems Alone

  Two well-known white hats explain how hackers take advantage of security holes left by enterprise application developers.

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• The Security-Developer Gap: Why IT Security Can't Fix Your Security Problems Alone

  Two well-known white hats explain how hackers take advantage of security holes left by enterprise application developers.

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• SQLAuthority News – Download Whitepaper Using SharePoint List Data in PowerPivot

  - by pinaldave

  One of the many features of Microsoft SQL Server PowerPivot is the range of data sources that can be used to import data. Anything, from Microsoft SQL Server relational databases, Oracle databases, and Microsoft Access databases, to text documents, can be used as data sources in PowerPivot. In this paper, I explain one of the new and upcoming data sources that people are excited about – SharePoint list data in the form of Atom feeds. This white paper goes on to explain the different ways you can import SharePoint list data into PowerPivot, what types of lists are supported, various components that need to be installed to use this feature, and where to get those components. Download and read this whitepaper. Note: Abstract is taken from MSDN Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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• July, the 31 Days of SQL Server DMO’s – Day 19 (sys.dm_exec_query_stats)

  - by Tamarick Hill

  The sys.dm_exec_query_stats DMV is one of the most useful DMV’s out there when it comes to performance tuning. If you have been keeping up with this blog series this month, you know that I started out on Day 1 reviewing many of the DMV’s within the ‘exec’ namespace. I’m not sure how I missed this one considering how valuable it is, but hey, they say it’s better late than never right?? On Day 7 and Day 8 we reviewed the sys.dm_exec_procedure_stats and sys.dm_exec_trigger_stats respectively. This sys.dm_exec_query_stats DMV is very similar to these two. As a matter of fact, this DMV will return all of the information you saw in the other two DMV’s, but in addition to that, you can see stats for all queries that have cached execution plans on your server. You can even see stats for statements that are ran Ad-Hoc as long as they are still cached in the buffer pool. To better illustrate this DMV, let have a quick look at it: SELECT * FROM sys.dm_exec_query_stats As you can see, there is a lot of information returned from this DMV. I wont go into detail about each and every one of these columns, but I will touch on a few of them briefly. The first column is the ‘sql_handle’, which if you remember from Day 4 of our blog series, I explained how you can use this column to extract the actual SQL text that was executed. The next columns statement_start_offset and statement_end_offset provide you a way of extracting the exact SQL statement that was executed as part of a batch. The plan_handle column is used to extract the Execution plan that was used, which we talked about during Day 5 of this blog series. Later in the result set, you have columns to identify how many times a particular statement was executed, how much CPU time it used, how many reads/writes it performed, the duration, how many rows were returned, etc. These columns provide you with a solid avenue to begin your performance optimization. The last column I will touch on is the query_plan_hash column. A lot of times when you have Dynamic SQL running on your server, you have similar statements with different parameter values being passed in. Many times these types of statements will get similar execution plans and then a Binary hash value can be generated based on these similar plans. This query plan hash can be used to find the cost of all queries that have similar execution plans and then you can tune based on that plan to improve the performance of all of the individual queries. This is a very powerful way of identifying and tuning Ad-hoc statements that run on your server. As I stated earlier, this sys.dm_exec_query_stats DMV is a very powerful and recommended DMV for performance tuning. You are able to quickly identify statements that are running on your server and analyze their impact on system resources. Using this DMV to track down the biggest performance killers on your server will allow you to make the biggest gains once you focus your tuning efforts on those top offenders. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms189741.aspx Follow me on Twitter @PrimeTimeDBA

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• What I Expect From Myself This Year

  - by Lee Brandt

  I am making it a point not to call them resolutions, because the word has become an institution and is beginning to have no meaning. That's why I end up not keeping my resolutions, I think. So in the spirit of holding myself to my own commitments, I will make a plan and some realistic goals. 1.) Lose weight. Everyone has this on their list, but I am going to be conservative and specific. I currently weigh 393lbs. (yeah, I know). So I want to plan to lose 10lbs per month, that's 1lb. every three days, that shouldn't be difficult if I stick to my diet and exercise plan. - How do I do this?     - Diet: vegetarian. Since I already know I have high blood pressure and borderline high cholesterol, a meat-free diet is in order. I was vegan for a little over 2 years in 2006-2008, I think I can handle vegetarian.     - Exercise: at least 3 times (preferably every day) a week for 30 minutes. It has to be something that gets my heart rate up, or burns in my muscles. I can walk for cardio to start and mild calisthenics (girly push-ups, crunches, etc.).         - Move: I spend all my time behind the computer. I have recently started to use a slight variation of the Pomodoro Technique (my Pomodoros are 50 minutes instead of 25). During my 10 minutes every hour to answer emails, chats, etc., I will take a few minutes to stretch. 2.) Get my wife pregnant. We've been talking about it for years. Now that she is done with graduate school and I have a great job, now's the time. We'll be the oldest parents in the PTA most likely, but I don't care. 3.) Blog More. Another favorite among bloggers, but I do have about six drafts for blog posts started. The topics are there all I need to do is flesh out the post. This can be the first hour of any computer time I have after work. As soon as I am done exercising, shower and post. 4.) Speak less. Most people want to speak more. I want to concentrate on the places that I enjoy and that can really use the speakers (like local code camps), rather than trying to be some national speaker. I love speaking at conferences, but I need to spend some more time at home if we're going to get pregnant. 5.) Read more. I got a Kindle for Christmas and I am loving it so far. I have almost finished Treasure Island, and am getting ready to pick my next book. I will probably read a lot of classics for 2 reasons: (1) they teach deep lessons and (2) most are free for the Kindle. 6.) Find my religion. I was raised Southern Baptist, but I want to find my own way. I've been wanting to go to the local Unitarian Church, so I will make a point to go before the end of March. I also want to add a few religious books to my reading list. My boss bought me a copy of Lee Strobel's The Case for Christ: A Journalist's Personal Investigation of the Evidence for Jesus , and I have a copy of Bruce Feiler's Abraham: A Journey to the Heart of Three Faiths (P.S.) . I will start there. Seems like a lot now that I spell it out like this. But these are only starters. I am forty years old. I cannot keep living like I am twenty anymore. So here we go, 2011.

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• SQL SERVER – Simple Demo of New Cardinality Estimation Features of SQL Server 2014

  - by Pinal Dave

  SQL Server 2014 has new cardinality estimation logic/algorithm. The cardinality estimation logic is responsible for quality of query plans and majorly responsible for improving performance for any query. This logic was not updated for quite a while, but in the latest version of SQL Server 2104 this logic is re-designed. The new logic now incorporates various assumptions and algorithms of OLTP and warehousing workload. Cardinality estimates are a prediction of the number of rows in the query result. The query optimizer uses these estimates to choose a plan for executing the query. The quality of the query plan has a direct impact on improving query performance. ~ Souce MSDN Let us see a quick example of how cardinality improves performance for a query. I will be using the AdventureWorks database for my example. Before we start with this demonstration, remember that even though you have SQL Server 2014 to see the effect of new cardinality estimates, you will need your database compatibility mode set to 120 which is for SQL Server 2014. If your server instance of SQL Server 2014 but you have set up your database compatibility mode to 110 or any other earlier version, you will get performance from your query like older version of SQL Server. Now we will execute following query in two different compatibility mode and see its performance. (Note that my SQL Server instance is of version 2014). USE AdventureWorks2014 GO -- ------------------------------- -- NEW Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 120 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO -- ------------------------------- -- Old Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 110 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO Result of Statistics IO Compatibility level 120 Table ‘Person’. Scan count 0, logical reads 6, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Compatibility level 110 Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Person’. Scan count 0, logical reads 137, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. You will notice in the case of compatibility level 110 there 137 logical read from table person where as in the case of compatibility level 120 there are only 6 physical reads from table person. This drastically improves the performance of the query. If we enable execution plan, we can see the same as well. I hope you will find this quick example helpful. You can read more about this in my latest Pluralsight Course. Reference: Pinal Dave (http://blog.SQLAuthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Import Gmail Contacts into ASP.NET GridView

  In this article I will explain how to import gmail contacts of a user by using GContacts Data API provided by Google.

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• What did Stallman mean in this quote about implementing other languages in Lisp?

  - by Charlie Flowers

  I just read the following quote from Stallman as part of a speech he gave many years ago. He's talking about how it is feasible to implement other programming languages in Lisp, but not feasible to implement Lisp in those other programming languages. He seems to take for granted that the listeners/readers understand why. But I don't see why. I think the answer will explain something about Lisp to me, and I'd like to understand it. Can someone explain it? Here's the quote: "There's an interesting benefit you can get from using such a powerful language as a version of Lisp as your primary extensibility language. You can implement other languages by translating them into your primary language. If your primary language is TCL, you can't very easily implement Lisp by translating it into TCL. But if your primary language is Lisp, it's not that hard to implement other things by translating them." The full speech is here: http://www.gnu.org/gnu/rms-lisp.html Thanks.

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• Why is Python slower than Java but faster than PHP

  - by good_computer

  I have many times seen various benchmarks that show how a bunch of languages perform on a given task. Always these benchmarks reveal that Python is slower then Java and faster than PHP. And I wonder why is that the case. Java, Python, and PHP run inside a virtual machine All three languages convert their programs into their custom byte codes that run on top of OS -- so none is running natively Both Java and Python can be "complied" (.pyc for Python) but the __main__ module for Python is not compiled Python and PHP are dynamically typed and Java statically -- is this the reason Java is faster, and if so, please explain how that affects speed. And, even if the dynamic-vs-static argument is correct, this does not explain why PHP is slower than Python -- because both are dynamic languages. You can see some benchmarks here and here, and here

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• Patrick Curran Session-Keynote at DOAG 2012

  - by Heather VanCura

  Patrick Curran, Chair of the  Java Community Process (JCP) and Director of the JCP Program Management Office, will be speaking this week at the DOAG 2012 event in Nuremberg Germany. Keynote Java: Restructuring the Java Community ProcessNovember, 22nd | 09:00-09:45 am The Java Community Process (JCP) plays a critical role in the evolution of Java.  This keynote will explain how the JCP is organized and how interested members of the Java community - commercial organizations, non-profits, Java user-groups, and individual developers - work together to advance the Java language and platforms. It will then discuss recent and upcoming changes to the JCP's structure and operating processes, and will explain how these changes ('JCP.next') will make the organization more efficient and will ensure that its work is carried out in a more open and more transparent manner.

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• Web-Cam SecureChat

  This article will explain how to create a simple chat program using this remoting technology, which supports web-cam and sending files.

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• Presentations on OVCA & OVN

  - by uwes

  The following three presentations regarding Oracle Virtual Compute Appliance and Oracle SDN from Oracle Open World sessions are now available for download from eSTEP portal. Oracle Virtual Compute Appliance: From Power On to Production in About an Hour Charlie Boyle and Premal Savla give an overview of the Oracle Virtual Compute Appliance. This presentation is a mix of the business and technical slides. Rapid Application Deployment with Oracle Virtual Compute Appliance Kurt Hackel and Saar Maoz, both in Product Development, explain how to use Oracle VM templates to deploy applications faster and walk through a demo with Oracle VM templates for Oracle Database.  Oracle SDN: Software-Defined Networking in a Hybrid, Open Data Center Krishna Srinivasan and Ronen Kofman explain Oracle SDN and provide use cases for multi-tenant private cloud, IaaS, serving Tier 1 application and virtual network services. The presentation can be downloaded from eSTEP portal. URL: http://launch.oracle.com/ PIN: eSTEP_2011 The material can be found under tab eSTEP Download Located under: Recent Updates and Engineered Sysytems/Optimized Solutions

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• Miscellaneous Advanced 2D Topics in GDI+

  In this article I will explain about miscellaneous Advanced 2D Topics in GDI+.

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• T-SQL in Chicago – the LobsterPot teams with DataEducation

  - by Rob Farley

  In May, I’ll be in the US. I have board meetings for PASS at the SQLRally event in Dallas, and then I’m going to be spending a bit of time in Chicago. The big news is that while I’m in Chicago (May 14-16), I’m going to teach my “Advanced T-SQL Querying and Reporting: Building Effectiveness” course. This is a course that I’ve been teaching since the 2005 days, and have modified over time for 2008 and 2012. It’s very much my most popular course, and I love teaching it. Let me tell you why. For years, I wrote queries and thought I was good at it. I was a developer. I’d written a lot of C (and other, more fun languages like Prolog and Lisp) at university, and then got into the ‘real world’ and coded in VB, PL/SQL, and so on through to C#, and saw SQL (whichever database system it was) as just a way of getting the data back. I could write a query to return just about whatever data I wanted, and that was good. I was better at it than the people around me, and that helped. (It didn’t help my progression into management, then it just became a frustration, but for the most part, it was good to know that I was good at this particular thing.) But then I discovered the other side of querying – the execution plan. I started to learn about the translation from what I’d written into the plan, and this impacted my query-writing significantly. I look back at the queries I wrote before I understood this, and shudder. I wrote queries that were correct, but often a long way from effective. I’d done query tuning, but had largely done it without considering the plan, just inferring what indexes would help. This is not a performance-tuning course. It’s focused on the T-SQL that you read and write. But performance is a significant and recurring theme. Effective T-SQL has to be about performance – it’s the biggest way that a query becomes effective. There are other aspects too though – such as using constructs better. For example – I can write code that modifies data nicely, but if I haven’t learned about the MERGE statement and the way that it can impact things, I’m missing a few tricks. If you’re going to do this course, a good place to be is the situation I was in a few years before I wrote this course. You’re probably comfortable with writing T-SQL queries. You know how to make a SELECT statement do what you need it to, but feel there has to be a better way. You can write JOINs easily, and understand how to use LEFT JOIN to make sure you don’t filter out rows from the first table, but you’re coding blind. The first module I cover is on Query Execution. Take a look at the Course Outline at Data Education’s website. The first part of the first module is on the components of a SELECT statement (where I make you think harder about GROUP BY than you probably have before), but then we jump straight into Execution Plans. Some stuff on indexes is in there too, as is simplification and SARGability. Some of this is stuff that you may have heard me present on at conferences, but here you have me for three days straight. I’m sure you can imagine that we revisit these topics throughout the rest of the course as well, and you’d be right. In the second and third modules we look at a bunch of other aspects, including some of the T-SQL constructs that lots of people don’t know, and various other things that can help your T-SQL be, well, more effective. I’ve had quite a lot of people do this course and be itching to get back to work even on the first day. That’s not a comment about the jokes I tell, but because people want to look at the queries they run. LobsterPot Solutions is thrilled to be partnering with Data Education to bring this training to Chicago. Visit their website to register for the course. @rob_farley

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• Seizing the Moment with Mobility

  - by Kathryn Perry

  A guest post by Hernan Capdevila, Vice President, Oracle Fusion Apps Mobile devices are forcing a paradigm shift in the workplace – they’re changing the way businesses can do business and the type of cultures they can nurture. As our customers talk about their mobile needs, we hear them saying they want instant-on access to enterprise data so workers can be more effective at their jobs anywhere, anytime. They also are interested in being more cost effective from an IT point of view. The mobile revolution – with the idea of BYOD (bring your own device) – has added an interesting dynamic because previously IT was driving the employee device strategy and ecosystem. That's been turned on its head with the consumerization of IT. Now employees are figuring out how to use their personal devices for work purposes and IT has to figure out how to adapt. Blurring the Lines between Work and Personal Life My vision of where businesses will be five years from now is that our work lives and personal lives will be more interwoven together. In turn, enterprises will have to determine how to make employees’ work lives fit more into the fabric of their personal lives. And personal devices like smartphones are going to drive significant business value because they let us accomplish things very incrementally. I can be sitting on a train or in a taxi and be productive. At the end of any meeting, I can capture ideas and tasks or follow up with people in real time. Mobile devices enable this notion of seizing the moment – capitalizing on opportunities that might otherwise have slipped away because we're not connected. For the industry shapers out there, this is game changing. The lean and agile workforce is definitely the future. This notion of the board sitting down with the executive team to lay out strategic objectives for a three- to five-year plan, bringing in HR to determine how they're going to staff the strategic activities, kicking off the execution, and then revisiting the plan in three to five years to create another three- to five-year plan is yesterday's model. Businesses that continue to approach innovating in that way are in the dinosaur age. Today it's about incremental planning and incremental execution, which requires a lot of cohesion and synthesis within the workforce. There needs to be this interweaving notion within the workforce about how ideas cascade down, how people engage, how they stay connected, and how insights are shared. How to Survive and Thrive in Today’s Marketplace The notion of Facebook isn’t new. We lived it pre-Internet days with America Online and Prodigy – Facebook is just the renaissance of these services in a more viral and pervasive way. And given the trajectory of the consumerization of IT with people bringing their personal tooling to work, the enterprise has no option but to adapt. The sooner that businesses realize this from a top-down point of view the sooner that they will be able to really drive significant innovation and adapt to the marketplace. There are a small number of companies right now (I think it's closer to 20% rather than 80%, but the number is expanding) that are able to really innovate in this incremental marketplace. So from a competitive point of view, there's no choice but to be social and stay connected. By far the majority of users on Facebook and LinkedIn are mobile users – people on iPhones, smartphones, Android phones, and tablets. It's not the couch people, right? It's the on-the-go people – those people at the coffee shops. Usually when you're sitting at your desk on a big desktop computer, typically you have better things to do than to be on Facebook. This is a topic I'm extremely passionate about because I think mobile devices are game changing. Mobility delivers significant value to businesses – it also brings dramatic simplification from a functional point of view and transforms our work life experience. Hernan CapdevilaVice President, Oracle Applications Development

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• Mobile Banking Application using ASP.NET

  In this article I will explain you about Mobile Banking Application using ASP.NET.

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