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Query Tuning Mastery: The Art of Manhandling Parallelism

As a database developer, your job boils down to one word: performance. And in today's multi-core-driven world, query performance is very much determined by how well you're taking advantage of the processing power at your disposal. Are your big queries using every available clock tick, or are they lagging behind? And if your queries are already going parallel, can they be rewritten for even greater speed? In this session you will learn how to take full advantage of parallelism, from a developer's point of view. After a quick terminology review and technology refresher the session will go deep, covering T-SQL patterns that allow certain queries to scale almost linearly across your multi-core CPUs. Alas, not all T-SQL queries can go parallel, so you will also learn to watch for those things that can restrict the query optimizer's decisions. Along the way you’ll learn to manipulate costs and row goals, challenge generally accepted tuning practices, and take complete control of your parallel queries.
Presented by Adam Machanic at SQLBits X
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  • SpeakerBIO
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    Adam Machanic is a Boston-based independent database consultant, writer, and speaker. He has been involved in dozens of SQL Server implementations for both high-availability OLTP and large-scale data warehouse applications, and has optimized data access layer performance for several data-intensive applications. Adam has written for numerous web sites and magazines, including SQLblog, Simple Talk, Search SQL Server, SQL Server Professional, CoDe, and VSJ. He has also contributed to several books on SQL Server, including "SQL Server 2008 Internals" (Microsoft Press, 2009) and "Expert SQL Server 2005 Development" (Apress, 2007). Adam regularly speaks at user groups, community events, and conferences on a variety of SQL Server and .NET-related topics. He is a Microsoft Most Valuable Professional (MVP) for SQL Server, Microsoft Certified IT Professional (MCITP), and a former member of the INETA North American Speakers Bureau.
    http://sqlblog.com http://sqlblog.com/blogs/MainFeed.aspx
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