eBooks
Pro SQL Server 2008 Administration (With Source Code)
Pro SQL Server 2008 Administration (With Source Code) Free & Full Download

Ken Simmons, .. "Pro SQL Server 2008 Administration (With Source Code)"
Sep 2009 | English | ISBN-13: 978-1-4302-2373-3 | 593 Pages | PDF | 11.3 MB
Sep 2009 | English | ISBN-13: 978-1-4302-2373-3 | 593 Pages | PDF | 11.3 MB
Pro SQL Server 2008 Administration is critical for database administrators seeking in-depth knowledge on administering SQL Server 2008. This book covers the impact of the new features available in SQL Server 2008 specifically targeted for database administrators, along with the tried-and-true advanced techniques required to support and maintain Microsoft SQL Server.
* Introduces new administration features of SQL Server 2008
* Shows how to manage a SQL Server 2008 database at professional level
* Provides guidance on performance optimization
What you'll learn
* Take advantage of the new administrative features in SQL Server 2008
* Make intelligent decisions when choosing an installation or upgrade path
* Define and implement database policies to create a consistent, predictable environment throughout the organization
* Automate repetitive Tasks for increased productivity
* Create baseline monitors using Performance Monitor, Profiler, and System Dynamic Management views
* Identify and resolve long-running, I/O, and CPU-intensive queries
* Introduces new administration features of SQL Server 2008
* Shows how to manage a SQL Server 2008 database at professional level
* Provides guidance on performance optimization
What you'll learn
* Take advantage of the new administrative features in SQL Server 2008
* Make intelligent decisions when choosing an installation or upgrade path
* Define and implement database policies to create a consistent, predictable environment throughout the organization
* Automate repetitive Tasks for increased productivity
* Create baseline monitors using Performance Monitor, Profiler, and System Dynamic Management views
* Identify and resolve long-running, I/O, and CPU-intensive queries

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