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The Smiling DBA

Thomas LeBlanc is a Business Intelligence Consultant/Data Warehouse Architect in Baton Rouge, Louisiana. He uses his 25+ years in IT to help develop OLTP systems with normalized databases for high-performing T-SQL and end-to-end dimensional data marts using SSIS, SSAS, PPS, and Excel. His SQL Server certifications include MCSA 12, MCITP 08 BI and DBA, MCITP 2005 DBA, and MCDBA 2000. As a PASS volunteer, he is current chair of the Excel BI virtual chapter, past chair of the Data Architecture virtual chapter, and past virtual chapter mentor. He has helped the Baton Rouge SQL Server User Group with SQLSaturdays and speaks at local IT meetings.

PASS BI/DW presents Dimensional Modeling 101–by me…

With a little help from the Kimball Group, I have become somewhat knowledgeable with the Data Mart dimension model approach to Data Warehousing. The PASS DW/BI Virtual Chapter has graciously allowed me to present on Dimensional Modeling. I am not an expert, so this is an introduction to what I have learned over the years.

At Crown Vantage (a paper mill), I was tasked to move a data warehouse from the old (bankrupt) home office to the lone paper that was left. After reading A Diary to Data Warehousing, I found out that our office (Sales) just needed a Data Mart, and did not need a Data Warehouse for the nightly reports. Years later I was a DBA at Amedisys and started to help the BI team performance tune the SQL. This led me to the BI department of Amedisys.

Please join me tomorrow if interest in a level 101 intro to Dimensional Modeling!!!

Tues July 17th 11:30am - 12:30pm Central

Dimensional Modeling 101

Speaker: Thomas LeBlanc

URL: https://www.livemeeting.com/cc/usergroups/join?id=J89H27&role=attend&pw=w%7B37%3A4SWd

This session is going to help create a dimensional Data Mart from the AdventureWorks database that includes dimension tables and 2 example fact tables. The Kimball spreadsheet for documenting a Data Mart will be used to re-enforce the need for Requirements and Functional specifications. A brief review of ETL for Slowly Changing Dimension and population of the Fact will be demonstrated as well as a simple cube for reporting.

http://bi.sqlpass.org/

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