Microsoft SQL Server 2005: The Complete Reference: Full Coverage of all New and Improved Features
McGraw-Hill Osborne Media | ISBN: 0072261528 | November 17, 2006 | 672 pages | CHM | 24 MB
SQL Server 2005 is Microsoft's next-generation data management and analysis software designed to deliver increased scalability, availability, and security to enterprise data and analytical applications while making them easier to create, deploy, and manage. Filled with practical solutions and real-world examples, this resource includes full details on:
* Enterprise data management capabilities, including security and clustering
* Powerful developer tools -- T-SQL, .NET CLR, XML, ADO.NET 2.0
* Business Intelligence features, such as Integration Services, data warehousing, and reports
From the Back Cover
The Definitive Guide to Microsoft SQL Server 2005
Deliver high-performance, widely distributed enterprise database applications using Microsoft SQL Server 2005. This comprehensive resource shows you how to get up-and-running on SQL Server 2005, create and manage databases and tables, triggers, functions, stored procedures, transactions, and advanced database queries. Microsoft SQL Server 2005: The Complete Reference covers every aspect of the new release in full detail, starting with an in-depth review of the core database engine. The book goes on to cover the management and maintenance tools, the SQL Server support of the .NET Common Language Runtime, database integrity, transactions, security, performance management tools, and monitoring techniques.
ESSENTIAL SKILLS FOR DATABASE PROFESSIONALS:
* Set up, configure, and manage Microsoft SQL Server 2005
* Understand the RDBMS architecture
* Develop, debug, and deploy Web-enabled database applications
* Build databases, tables, indexes, and views
* Create triggers, stored procedures, and functions
* Implement sound security and disaster recovery policies
* Integrate .NET applications and XML
* Write sophisticated T-SQL statements in SQL Server Management Studio
* Optimize data integrity and maximize application availability
* Work with operational, tabular, and transactional data
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