83,69 €
92,99 €
-10% with code: EXTRA
SQL Server Query Performance Tuning Distilled
SQL Server Query Performance Tuning Distilled
83,69
92,99 €
  • We will send in 10–14 business days.
The second edition includes updated material plus one new chapter, and explains how to design and tune SQL Server applications to cope with ever-increasing workloads. With proven strategy, this book shows how to use SQL Server tools to identify a performance bottleneck, isolate the root cause, apply possible resolutions, and then quantify performance improvements. Also covered are crucial issues like index analysis and tuning, preventing deadlocks, optimizing workload, and minimizing costs.
92.99
  • Publisher:
  • Year: 2004
  • Pages: 624
  • ISBN-10: 1590594215
  • ISBN-13: 9781590594216
  • Format: 18.8 x 23.7 x 3.3 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

SQL Server Query Performance Tuning Distilled (e-book) (used book) | bookbook.eu

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The second edition includes updated material plus one new chapter, and explains how to design and tune SQL Server applications to cope with ever-increasing workloads. With proven strategy, this book shows how to use SQL Server tools to identify a performance bottleneck, isolate the root cause, apply possible resolutions, and then quantify performance improvements. Also covered are crucial issues like index analysis and tuning, preventing deadlocks, optimizing workload, and minimizing costs.

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  • Author: Sajal Dam
  • Publisher:
  • Year: 2004
  • Pages: 624
  • ISBN-10: 1590594215
  • ISBN-13: 9781590594216
  • Format: 18.8 x 23.7 x 3.3 cm, minkšti viršeliai
  • Language: English English

The second edition includes updated material plus one new chapter, and explains how to design and tune SQL Server applications to cope with ever-increasing workloads. With proven strategy, this book shows how to use SQL Server tools to identify a performance bottleneck, isolate the root cause, apply possible resolutions, and then quantify performance improvements. Also covered are crucial issues like index analysis and tuning, preventing deadlocks, optimizing workload, and minimizing costs.

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