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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 ( 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.

Building an Effective Data Warehouse Architecture Presentation

I will be presenting the session “Building an Effective Data Warehouse Architecture” this Wednesday, July 31st, at 10pm EST for the 24 hours of PASS, PASS Summit Preview.  Info about the event, and the abstract for my session, is below.  I hope you can make it!

Mark your calendars for July 31. Beginning at 12:00 GMT, SQL Server and BI experts will take to the virtual stage in a series of 1-hour webcasts to deliver technical content on today’s hottest application and database development, BI information delivery, BI platform architecture and development, Cloud application development and deployment, and enterprise database administration topics.

This edition of 24 Hours of PASS features 24 consecutive webcasts from a sampling of PASS Summit 2013 speakers. The event provides a sneak peek at some of the best practices, expert tips, and demos you’ll find at PASS Summit. Best of all? There’s no cost to attend.

Building an Effective Data Warehouse Architecture

You’re a DBA and your boss asks you to determine if a data warehouse would help the company.  So many questions pop into your head: Why use a data warehouse?  What is the best methodology to use when creating a data warehouse?  Should I use a normalized or dimensional approach?  What is the difference between the Kimball and Inmon methodologies?  Does the new Tabular model in SQL Server 2012 change things?  What is the difference between a data warehouse and a data mart?  Is there any hardware I can purchase that is optimized for a data warehouse?  What if I have a ton of data? During this session James will help you to answer these questions so your response to your boss will provoke amazement and lead to a big raise.  Or at least help to lead you down the correct path!


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