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 Senior Program Manager on the Power Query team. Matt has worked with multiple products across SQL Server, including SQL Server Integration Services (SSIS), Data Quality Services (DQS), Master Data Services (MDS), and the Data Management Gateway for the Power BI release. He has authored two books – SSIS Design Patterns (Apress) and SQL Server 2012 Integration Services (MS Press), and is a frequent presenter at SQL conferences. You can find his blog at http://www.mattmasson.com/.
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