Microsoft SQL Server 2014 Query Tuning & Optimization; Benjamin Nevarez; 2014

Microsoft SQL Server 2014 Query Tuning & Optimization

av Benjamin Nevarez
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. Youll 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 worksTroubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other toolsWork with query operators for data access, joins, aggregations, parallelism, and updatesSpeed up queries and dramatically improve application performance by creating the right indexesUnderstand statistics and how to detect and fix cardinality estimation errorsMaximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored proceduresMonitor and promote plan caching and reuse to improve application performanceImprove the performance of data warehouse queries using columnstore indexesHandle query processor limitations with hints and other methods
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. Youll 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 worksTroubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other toolsWork with query operators for data access, joins, aggregations, parallelism, and updatesSpeed up queries and dramatically improve application performance by creating the right indexesUnderstand statistics and how to detect and fix cardinality estimation errorsMaximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored proceduresMonitor and promote plan caching and reuse to improve application performanceImprove the performance of data warehouse queries using columnstore indexesHandle query processor limitations with hints and other methods
Utgiven: 2014
ISBN: 9780071829427
Förlag: McGraw Hill
Format: Häftad
Språk: Engelska
Sidor: 416 st
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. Youll 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 worksTroubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other toolsWork with query operators for data access, joins, aggregations, parallelism, and updatesSpeed up queries and dramatically improve application performance by creating the right indexesUnderstand statistics and how to detect and fix cardinality estimation errorsMaximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored proceduresMonitor and promote plan caching and reuse to improve application performanceImprove the performance of data warehouse queries using columnstore indexesHandle query processor limitations with hints and other methods
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. Youll 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 worksTroubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other toolsWork with query operators for data access, joins, aggregations, parallelism, and updatesSpeed up queries and dramatically improve application performance by creating the right indexesUnderstand statistics and how to detect and fix cardinality estimation errorsMaximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored proceduresMonitor and promote plan caching and reuse to improve application performanceImprove the performance of data warehouse queries using columnstore indexesHandle query processor limitations with hints and other methods
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