Inside Microsoft SQL Server 2005: T-SQL Querying

Itzik Ben-Gan,Lubor Kollar,Dejan Sarka

ISBN 10: 0735623139 / ISBN 13: 9780735623132

Verlag: Microsoft Press, 2006

Beschreibung

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Bestandsnummer des Verkäufers S_433565802

Bibliografische Details

• Titel: Inside Microsoft SQL Server 2005: T-SQL Querying
• Verlag: Microsoft Press
• Erscheinungsjahr: 2006
• Sprache: Englisch
• ISBN-10: 0735623139
• ISBN-13: 9780735623132
• Einband: paperback
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

Take a detailed look at the internal architecture of T-SQL―and unveil the power of set-based querying―with comprehensive reference and advice from the experts. Database developers and administrators get best practices, sample databases, and code to master the intricacies of the programming language―solving complex problems with real-world solutions.

Discover how to:

• Understand logical and physical query processing
• Apply a methodology to optimize query tuning
• Solve relational division problems
• Use CTEs and ranking functions to simplify and optimize solutions
• Aggregate data with various techniques, including tiebreakers, pivoting, histograms, and grouping factors
• Use the TOP option in a query to modify data
• Query specialized data structures with recursive logic, materialized path, or nested sets solutions
• PLUS―Improve your logic and get to the heart of querying problems with logic puzzles

Get code and database samples on the Web

Über die Autorin bzw. den Autor

Dejan Sarka is a mentor with SolidQ and focuses on development of database and business intelligence applications. He is a frequent speaker at international conferences such as TechEd, SqlDevCon, and PASS. He is the founder of the Slovenian SQL Server and .NET Users Group. As main author or coauthor, Dejan has written nine books about SQL Server. He has also developed three courses for SolidQ: Data Modeling Essentials, Data Quality and Master Data Management, and Data Mining.