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Microsoft Sql Server 2014 Query Tuning Optimization Benjamin Nevarez

  • SKU: BELL-11903638
Microsoft Sql Server 2014 Query Tuning Optimization Benjamin Nevarez
$ 31.00 $ 45.00 (-31%)

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Microsoft Sql Server 2014 Query Tuning Optimization Benjamin Nevarez instant download after payment.

Publisher: McGraw-Hill Education
File Extension: AZW3
File size: 26.04 MB
Pages: 416
Author: Benjamin Nevarez
ISBN: 9780071829427, 9780071829434, 0071829423, 0071829431
Language: English
Year: 2014

Product desciption

Microsoft Sql Server 2014 Query Tuning Optimization Benjamin Nevarez by Benjamin Nevarez 9780071829427, 9780071829434, 0071829423, 0071829431 instant download after payment.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Optimize Microsoft SQL Server 2014 queries and applications Microsoft SQL Server 2014 Query Tuning & Optimization is filled with ready-to-use techniques for creating high-performance queries and applications. The book describes the inner workings of the query processor so you can write better queries and provide the query processor with the quality information it needs to produce efficient execution plans. You’ll also get tips for troubleshooting underperforming queries. In-Memory OLTP (Hekaton), a key new feature of SQL Server 2014, is fully covered in this practical guide. Understand how the query optimizer works Troubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other tools Work with query operators for data access, joins, aggregations, parallelism, and updates Speed up queries and dramatically improve application performance by creating the right indexes Understand statistics and how to detect and fix cardinality estimation errors Maximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored procedures Monitor and promote plan caching and reuse to improve application performance Improve the performance of data warehouse queries using columnstore indexes Handle query processor limitations with hints and other methods

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