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UCLA Anderson School of Management is graciously providing us with our general meeting facilities.  For more information, please visit their website at: www.anderson.ucla.edu

 


 


 


 


 


 

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Our Next Meeting: May 17, 2012

 

www.LynnLangit.com 

 Part 1: Introduction to Data Quality Services

Abstract - In this demo-filled talk, Lynn will explain and show how to use the new data cleansing and de-duplication services, called Data Quality Services in SQL Server 2012. You will learn what a Knowledge Base is, how to create KB and how to use to cleanse data. You will also learn how to write and to use matching rules to use DQS to detect potential duplicate values in your data.

 

Part 2: Understanding the New BI Semantic Model in SSAS (SQL Server 2012)

Abstract - A deep dive into using the new BI Semantic Model in Analysis Services using examples from mulitple industries - i.e. education, health care, open source gov't, etc… Here Lynn will compare and contrast using the UDM to create OLAP cubes vs. using the new lightweight BISM. She will explain BISM modeling concepts and show demos of creating BISM models using SQL Server Data Tools (SSDT).

Presenter bio - Lynn Langit is linguist who has been working with data for 15 years. She’s published 3 books on SQL Server Business Intelligence and has most recently worked with the SQL Azure team at Microsoft. In Oct 2011, Lynn left Microsoft to work as a voice in the Big Data frontier. She plans to analyze and write about the state of data in the cloud in her new blog www.lynnlangit.com, to teach and to build big data solutions.

Please Note: Lynn Langit is also teaching an all-day class in Anaheim on May 22, 2012. Please follow this link for details: http://nosqlforsqlpros.eventbrite.com/

6:30 PM, Registration and Refreshments

7:00 to 9:30 PM, Presentations
 UCLA Anderson School of Management
Cornell Hall, Room D301
 
 
Please follow this link for Directions.
This meeting is generously sponsored by:

Please check our Jobs page for great opportunities.

If you have come across any good SQL Server books lately, please send us your evaluation to be posted on our Book Reviews page.

 
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