Handling Advanced Data Warehouse Scenarios in SSIS
So you’ve used SSIS to populate a simple star schema data mart, and everybody’s happy. But now you have new requirements that require more advanced data warehouse approaches, like late arriving dimensions, parent child dimensions, and Type 3 or Type 6 slowly changing dimensions (SCD). How do you handle those in a scalable, efficient way in SSIS? This session will present some common patterns for handling these scenarios. You’ll learn when to use each advanced approach and the pros and cons associated with each pattern. You will learn how to implement these patterns in SSIS, and how to tune them for high performance.
John Welch works at Pragmatic Works, where he manages the development of a suite of BI products that make developing, managing, and documenting BI solutions easier. John has been working with business intelligence and data warehousing technologies since 2001, with a focus on Microsoft products in heterogeneous environments. He is a Microsoft Most Valued Professional (MVP), an award given due to his commitment to sharing his knowledge with the IT community, and an SSAS Maestro. John is an experienced speaker, having given presentations at Professional Association for SQL Server (PASS) conferences, the Microsoft Business Intelligence conference, Software Development West (SD West), Software Management Conference (ASM/SM), and others. He has also contributed to multiple books on SQL Server, including "Smart Business Intelligence Solutions with Microsoft SQL Server 2008" and the “SQL Server MVP Deep Dives” series.
John writes a blog on business intelligence and SSIS topics at http://agilebi.com/jwelch. He is active in open source projects that help ease the development process for Microsoft BI developers, including ssisUnit (http://ssisunit.codeplex.com), a unit testing framework for SSIS.
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