SSIS Performance Design Patterns
Need a fast data integration solution, but don't have the time or budget for heavy performance tuning? By selecting the right design, 90% of SSIS customers will achieve their ETL performance goals with little to no performance tuning. This session will teach you how to pick that design! Targeted at intermediate to advanced SSIS users, Matt Masson (a developer on the SSIS team) and John Welch (SQL MVP) will guide you through a series of proven SSIS design patterns, and teach you how to apply them to solve many common ETL problems. We’ll start off with an overview of the Data Flow internals, and review the SQLCAT team’s Top Ten Best Practices for achieving optimal performance. We’ll then dive into a series of design patterns, including Advanced Lookup Patterns, Parallel Processing, Avoiding Transactions, handling Late Arriving Facts and multiple ways to process Slowly Changing Dimensions.
If you’re looking for ways to maximize your SSIS ROI, then you won’t want to miss this!
This training session includes the following modules:
Module 1 - Data Flow Internals
Module 2 - Benchmarking and Performance Best Practices
Module 3 - Common Design Patterns
Module 4 - Lookup Design Patterns
Module 5 - Parallelization Design Patterns
Module 6 - Data Warehousing Design Patterns
Module 7 - Advanced Design Patterns
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Matt Masson is a Software Development Engineer working with the SQL Server Integration Services (SSIS) team. Matt has worked on many aspects of the SSIS product including upgrade, performance, and overall user experience. He is a frequent presenter at Microsoft conferences, and maintains the SSIS Team blog (http://blogs.msdn.com/b/mattm/
). Prior to joining Microsoft in 2006, Matt was a developer on a number of BI Reporting and Analytical products. He currently lives in Montreal, Quebec, and works remotely with his Redmond-based team.
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