Microsoft Business Intelligence and Data Warehousing
Archives: April 2012
Enterprise Data Warehouse Architecture Options
Enterprise Data Warehouse Architecture Options
Of course, your architecture depends on your business requirements along with technical, historical, and political factors. While business requirements are usually business-specific, we can start with a list of broad requirements, or architecture goals, that most organizations would support:
1. Excellent query performance for users Read more
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Posted in Microsoft Business Intelligence and Data Warehousing on 25 April 2012
Massively Parallel Processing and the Parallel Data Warehouse
Data growth is related to Moore’s law. As computers get faster and more powerful, we are using them to process more data in more complex applications. Traditional sources such as ERP systems are processing more transactions as our organizations grow. Newer sources such as web browsing activity, mobile devices, and… Read more
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Posted in Microsoft Business Intelligence and Data Warehousing on 15 April 2012
The Kimball Approach
The Kimball Approach
There are a lot of misconceptions about dimensional modeling and the Kimball approach to building a DW/BI system. It’s worth reading this section even if you are already familiar with the Kimball approach; you might be surprised at what you learn. The Kimball approach to creating an… Read more
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Posted in Microsoft Business Intelligence and Data Warehousing on 8 April 2012
Parallel Data Warehouse – Slowly Changing Dimension
Most of my day-to-day work is currently centered around Microsoft’s Massively Parallel Processing Appliance call PDW (Parallel Data Warehouse). Many of the same techniques common to SMP (Symmetric Multiprocessing)systems such as Kimball method Slowly Changing Dimension (SCD) are still very important.
Identifing the deltas between an incoming dataset… Read more
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Posted in Microsoft Business Intelligence and Data Warehousing on 2 April 2012



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