Wow, it’s already October which means that we’re less than a month away from the SQLPASS 2012 Summit in my fair city of Seattle, WA from November 6th – 9th.   As there are over 190 technical sessions with three days of deep dive content – this is the premier conference for SQL Server professionals!

There are many interesting sessions – you can review the session schedule at: http://www.sqlpass.org/summit/2012/Sessions.aspx.

During SQLPASS Summit 2012, Dave Mariani (VP Engineering, Klout, @dmariani) and I will be presenting our session How Klout Changed the Landscape of Social Media with Hadoop and BI [BIA-306-M].  The session abstract is included below and  is linked as well.

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 will:

• 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

As noted in Bing has Klout, Joe Fernandez (September 27th, 2012) says it best:

Starting today, you will notice that Bing is surfacing Klout Scores and influential topics for experts that are listed in the “People Who Know” section of its social sidebar. The Klout Score and topics are a helpful signal for understanding why you should trust recommendations from these experts. By clicking through to those users’ Klout profiles, you can see their best moments and gain additional context and insights into their expertise. It’s the “social resume” at work!

One of the core components for Klout scores is the connectivity between SQL Server Analysis Services and Hive.  To read up on this, please check out the case study SQL Server Analysis Services to Hive – A Klout Case Study.

Enjoy!