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James Serra's Blog

James is currently a Senior Business Intelligence Architect/Developer and has over 20 years of IT experience. James started his career as a software developer, then became a DBA 12 years ago, and for the last five years he has been working extensively with Business Intelligence using the SQL Server BI stack (SSAS, SSRS, and SSIS). James has been at times a permanent employee, consultant, contractor, and owner of his own business. All these experiences along with continuous learning has helped James to develop many successful data warehouse and BI projects. James has earned the MCITP Business Developer 2008, MCITP Database Administrator 2008, and MCITP Database Developer 2008, and has a Bachelor of Science degree in Computer Engineering. His blog is at .

SQL Server Parallel Data Warehouse (PDW) Appliance Update 3 (AU3)

In the next few weeks there will be an update to the SQL Server Parallel Data Warehouse (PDW) called “Appliance Update 3″ or “AU3″.  More than just a cumulative update, an Appliance Update is a complete refresh on the entire solution including software, hardware, and firmware.  This is the third Appliance Update in the last 14 months and includes the following major new features:

  • Breakthrough performance with up to 10x improvement over prior releases through the new cost-based Query Optimizer and Data Movement Service
  • Ability to start small and scale with full and half-rack appliances; Dell has released a half-rack appliance and the HP half-rack is available in April
  • Best-in-class manageability with integration to System Center 2012 enabling IT to manage PDW seamlessly with other IT assets using a single pane of glass

PDW is a massively parallel processing (MPP) pre-built appliance designed to provide the highest scalability and performance for the most demanding data warehouse needs.  PDW appliances are available from HP (as HP Enterprise Data Warehouse Appliance) and Dell (as Dell Parallel Data Warehouse appliance) to scale well beyond hundreds of terabytes.  Check here for more info.

More info:

Microsoft Data Warehouse Features


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