Wednesday, January 15, 2014

PASS BI/DW Virtual Chapter–Analysis Services Attributes and Hierarchies

Please join the PASS BI/DW VC today January 15th at 7PM Central for a presentation on Attributes and Hierarchies in Analysis Services 2012. This is a presentation I have shown at 2 SQLSaturdays and the Baton Rouge SQL Server User Group as well as 24 Hours of PASS.

http://bi.sqlpass.org/

Next Meeting

Wed, Jan 15 2014 7PM Central

Thu, Jan 16 2014 12:00 (GMT+10:00) Canberra, Melbourne, Sydney


Attributes & Hierarchies in Analysis Services 2012

RSVP: https://attendee.gotowebinar.com/register/3419604662485554177

ATTRIBUTES & HIERARCHIES IN ANALYSIS SERVICES 2012

The session explains Attributes and Hierarchies in Analysis Services 2012 Semantic Model. They are used to slice (filter) and dice (group) measures and dimensions used to view analytical data. The slicing and dicing of data involves fields, columns, or whatever you want to labeled them. But, in SQL Server Semantic model these are called Attributes and Hierarchies. The configuration of these slicers and dicers are important in SQL Server Analysis Services. This session will demonstrate the difference between an attribute and columns in a hierarchy in the dimension as well as the configuration of these for best performance and viewing.


Thomas LeBlanc (MCSA BI 2008, MCITP 2005/2008 DBA & MCDBA 2000) is a Data Warehouse Architect in Baton Rouge, LA. He has been in the IT field since 1989 starting as a COBOL programmer, graduating to dBase, FoxPro, Visual FoxPro, upgrading to Visual Basic versions 3-6 and even some .Net(C#). Designing and developing normalized database has become his passion. Dimensional Modeling is now his future. Full-time DBA work started in 2001 for Thomas while working at a Paper Mill. DBA related work involved supporting 600+ GB databases with replication to a Data Warehouse and DB Mirroring to a disaster recovery site. Performance tuning and reviewing database design and code are an everyday occurrence. Using the Microsoft BI stack for analytical reporting has sharpened his skills with SSIS, SSAS, SSRS and PerformancePoint.

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