January 28th 2015 12 CST Noon
Performance Troubleshooting Using
One of the first things you should
check when investigating performance issues are wait statistics - as these can
often point you in the direction for further ana5ysis. Unfortunately many
people misinterpret what SQL Server is telling them and jump to conclusions
about how to solve the problem - what is often called 'knee-jerk performance
tuning'. In this session, you will learn what waits are, how to analyze them,
and potential solutions to common problem patterns.
PAUL S. RANDAL
Paul is a Microsoft SQL Server MVP and a Microsoft Regional
Director. He spent 9 years working on the SQL Server team, writing DBCC
CHECKDB, and ultimately responsible for the entire Storage Engine. In 2007 Paul
left Microsoft to co-own and run SQLskills.com, and is a world-renowned author,
consultant, and top-rated speaker on SQL Server performance tuning, administration,
internals, and HA/DR. When he's not tweeting, blogging, or helping someone
recover from a disaster, he's likely to be underwater somewhere in the world
with his wife, Kimberly L. Tripp.
Full Bio: http://www.sqlskills.com/about/paul-s-randal/
SQL Server MVP since
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Data Architecture underpins just about everything we do in IT. Without a clear understanding of how data is structured, there is no reliable way to derive meaning from it. Data Architecture drives the design and governance of data systems, and thus should be of interest to any data professional. Data Architecture provides the blue-prints that we all share, whether we be DBAs, data integration developers, database developers, data warehousing professionals, data presentation developers or client-side application developers persisting data for later retrieval.
The PASS Data Architecture Virtual Chapter will focus on data architecture concerns as they impact users, developers and DBAs on the Microsoft SQL Server platform. We want to make data architecture accessible to all data practitioners, and drive the point home that Data Architecture is a set of practices and a body of knowledge that overlaps almost all database professionals to some degree.
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