100 Sql Queries T Sql For Microsoft Sql Server


100 Sql Queries T Sql For Microsoft Sql Server pdf

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100+ SQL Queries T-SQL for Microsoft SQL Server


100+ SQL Queries T-SQL for Microsoft SQL Server

Author: I.F.S. Harrison

language: en

Publisher: I.F.S. Harrison

Release Date: 2012-12-17


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Enhance Your Resume by Learning SQL. Did You Know? -Knowledge of SQL is an important skill to display on your resume. -With the growth of digital information, Database Administrator is one of the fastest growing careers. -SQL can be learned in hours and used for decades. Learn to script Transact SQL using Microsoft SQL Server. -Create tables and databases -select records -filter -sort -join tables -create views, stored procedures and more. Over 100 examples of SQL queries and statements along with images of results will help you learn T SQL. A special section included in this illustrated guide will help you test your skills and get ahead in the workplace. Now is the time to learn SQL. Click the 'buy button' and start scripting SQL TODAY!

Microsoft SQL Server 2005 New Features


Microsoft SQL Server 2005 New Features

Author: Michael Otey

language: en

Publisher: McGraw Hill Professional

Release Date: 2004


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Written by Michael Otey, Senior Technical Editor of SQL Server Magazine, this authoritative resource introduces the new features in the Yukon release, providing a jump start for IT professionals transitioning from SQL Server 7 and SQL Server 2000.

Inside Microsoft SQL Server 2008


Inside Microsoft SQL Server 2008

Author: Itzik Ben-Gan

language: en

Publisher:

Release Date: 2009


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Tackle the toughest set-based querying and query tuning problems--guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals--and gain practical approaches and advanced techniques to optimize your code's performance. Discover how to: Move from procedural programming to the language of sets and logic Optimize query tuning with a top-down methodology Assess algorithmic complexity to predict performance Compare data-aggregation techniques, including new grouping sets Manage data modification--insert, delete, update, merge--for performance Write more efficient queries against partitioned tables Work with graphs, trees, hierarchies, and recursive queries Plus--Use pure-logic puzzles to sharpen your problem-solving skills