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James Serra's Blog

James is a big data and data warehousing technology specialist at Microsoft. He is a thought leader in the use and application of Big Data technologies, including MPP solutions involving hybrid technologies of relational data, Hadoop, and private and public cloud. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 30 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of PASS events including the PASS Business Analytics conference and the PASS Summit. He is the author of the book “Reporting with Microsoft SQL Server 2012”. He received a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas.

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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