SQLPASS: Hadoop and BI are better together–we’ll show you how!

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This is going to be yet another exciting SQLPASS Summit!  Lots of great sessions, focus groups, and craziness – definitely one of the funner times of the job!

Over the last few years, I have had the honor to speak at the SQLPASS summits with the various themes surrounding large volume / complex Enterprise Business Intelligence.

Last year I had the honor to introduce Hadoop on Azure and Windows during the 2011 PASS Summit Keynote with Ted Kummert.  As it was recently announced during this year’s Strata Conference, Hortonworks Powers Microsoft HDInsight.

For this year’s PASS Summit, Dave Mariani (@dmariani) and I will be presenting our session showcasing how Hadoop and BI are better together!

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How Klout Changed the Landscape of Social Media with Hadoop and BI [BIA-306-M]

Session Category: Regular Session (75 minutes)
Session Track: BI Platform Architecture, Development & Administration
Speaker(s): Denny Lee, Dave Mariani
In this age of Big Data, data volumes grow exceedingly larger while the technical problems and business scenarios become more complex. Compounding these complexities, data consumers are demanding faster analysis to common business questions asked of their Big Data. This session will provide concrete examples of how to address this challenge.
We’ll highlight the use of Big Data technologies – including Hadoop and Hive – with classic BI systems such as Analysis Services. After this session, you’ll:

  • Understand the architectural components surrounding Hadoop, Hive, Classic BI, and the Tier-1 BI ecosystem
  • Have strategies for addressing the technical issues when working with extremely large cubes
  • See how to address the technical issues when working with Big Data systems from the DBA perspective

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Hope to see you at our session which is scheduled for Thursday, November 8th, 2012 1:30pm in 305-TCC.

As well, get a chance to win one of six copies of the SSAS book I co-authored: Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX.

Enjoy!

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