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August 2009 Baton Rouge SQL Server User Group – Near Real-time Data Warehousing 1.0

Fresh off of my presentation of the SQL Profiler at SQL Saturday #17 in Baton Rouge this past Saturday, I am now preparing to speak at our next user group.  The topic is Near Real-time Data Warehousing.  I gave this talk at the SQL Saturday in Pensacola it was well received.  However, before I could really get started presenting in Pensacola one of the participants asked, “Why do you need a Near Real-time Data Warehouse”.  I was prepared to answer that question, but instead of using the rehearsed version of the answer I decided to traverse down another path.  My answer went like this:

Have you ever actually tried to find a “Needle in a hay stack”?  Of course trying to find that needle would by very difficult and time consuming and everyone agreed.  I went back to my slide deck and revealed a query that consisted of THIRTY-FIVE joins.  The results of that query was simply a detailed customer listing, which included columns like first name, last name, address, phone number, city, state, etc..  I continued by explaining why the query was so long and complicated.  Our developers designed somewhat of an Object-Oriented database.  As a result, we have a database that is at a level of normalization that does not exist (smile).  Therefore, our team was posed with the task of de-normalizing the database to make it more report friendly.

The project was initially tasked as flattening the operational tables into a less normalized state, which was to include lots and lots of T-SQL and SSIS packages.  However, as the project progressed someone suggested that we just make it a warehouse and try to populate it at certain intervals though out the day.  I had built some very small warehouses, but nothing of this magnitude and visibility.  As a result, I accepted the task.  The result of the project is six FACT table and 23 dimensions that are built in intervals of 15 minutes using the following technologies:

  1. Transactional Replication
  2. Triggers
  3. SQL CLR
  4. Message Queuing
  5. SSIS
  6. A Custom ETL application.

If you want to find out more and you can’t make it to our local SQL Server Group (go to to get information about our local group) send me an email at to receive and invitation to a LIVE MEETING broadcast of our use group.  If you can’t make either don’t worry, I am writing an article on the entire process that hopefully will be published somewhere soon.  Please note that this is version 1.0, version 2.0 does not rely on items 2,4, and 6 of the aforementioned list.  Instead we have incorporated Change Data Capture, which makes life so much easier.

Talk soon Patrick LeBlanc,

SQL Down South.


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