The Art of War-Fast Track Data Warehouse & Fragmentation

When loading a Fast Track Data Warehouse it is important to ensure that your data is optimally laid out for Sequential I/O. Fragmentation is therefore the enemy.

Know your enemy.

Learn all about fragmentation - from the inside out. Let's get back to brass tacks and understand how SQL Server handles heaps and clustered indexes, re-visit page allocation and then apply this knowledge to our understanding of fragmentation. We will conclude by looking at some design patterns to help you minimise the impact of fragmentation on your next data warehousing project.

Key topics presented:

  • Logical, extent and file fragmentation
  • Heap and clustered index architecture and internals
  • Page allocation - how it works and how to influence it
  • Trace flags that help avoid fragmentation
  • Fragmentation in action
  • Design patterns for minimal fragmentation

Cheers, JRJ

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  • SpeakerBIO
    James Rowland-Jones is a Principal Program Manager for Microsoft. He is passionate about delivering highly scalable solutions that are creative, simple and elegant in their design. James specializes in big data warehouse solutions such as Microsoft Analytics Platform System (APS), Azure SQL Data Warehouse. Hadoop ecosystems. James is a keen advocate for the SQL Server community; both internationally and in the UK. He has previously served on the Board of Directors for PASS and helped organise SQLBits. James was awarded Microsoft’s MVP accreditation from 2008 - 2015 for his services to the community.


    You can find James on twitter @jrowlandjones or
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