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.
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.
Large, complex queries need memory in which to work--workspace memory--and understanding the how's, when's, and why's of this memory can help you create queries that run in seconds rather than minutes.