Microsoft SQL Server 2012 High-Performance T-SQL Using Window Functions (eBook, PDF)
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Apply powerful window functions in T-SQL-and increase the performance and speed of your queriesOptimize your queries-and obtain simple and elegant solutions to a variety of problems-using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you'll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you're a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks.Discover how to: Go beyond traditional query approaches ...
Apply powerful window functions in T-SQL-and increase the performance and speed of your queries
Optimize your queries-and obtain simple and elegant solutions to a variety of problems-using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you'll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you're a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks.
Discover how to:
Optimize your queries-and obtain simple and elegant solutions to a variety of problems-using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you'll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you're a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks.
Discover how to:
- Go beyond traditional query approaches to express set calculations more efficiently
- Delve into ordered set functions such as rank, distribution, and offset
- Implement hypothetical set and inverse distribution functions in standard SQL
- Use strategies for improving sequencing, paging, filtering, and pivoting
- Increase query speed using partitioning, ordering, and coverage indexing
- Apply new optimization iterators such as Window Spool
- Handle common issues such as running totals, intervals, medians, and gaps
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