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Microsoft SQL Server 2017 on Linux

Benjamin Nevarez

$130.95   $111

Paperback

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English
McGraw-Hill Education
06 July 2018
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.

Essential Microsoft® SQL Server® 2017 installation, configuration, and management techniques for Linux Foreword by Kalen Delaney, Microsoft SQL Server MVP This comprehensive guide shows, step-by-step, how to set up, configure, and administer SQL Server 2017 on Linux for high performance and high availability. Written by a SQL Server expert and respected author, Microsoft SQL Server 2017 on Linux teaches valuable Linux skills to Windows-based SQL Server professionals. You will get clear coverage of both Linux and SQL Server and complete explanations of the latest features, tools, and techniques. The book offers clear instruction on adaptive query processing, automatic tuning, disaster recovery, security, and much more. •Understand how SQL Server 2017 on Linux works•Install and configure SQL Server on Linux•Run SQL Server on Docker containers•Learn Linux Administration•Troubleshoot and tune query performance in SQL Server•Learn what is new in SQL Server 2017•Work with adaptive query processing and automatic tuning techniques•Implement high availability and disaster recovery for SQL Server on Linux•Learn the security features available in SQL Server
By:  
Imprint:   McGraw-Hill Education
Country of Publication:   United States
Dimensions:   Height: 231mm,  Width: 188mm,  Spine: 15mm
Weight:   526g
ISBN:   9781260121131
ISBN 10:   1260121135
Pages:   304
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Benjamin Nevarez is a database professional who specializes in SQL Server query tuning and optimization. He is the author of High Performance SQL Server, SQL Server 2014 Query Tuning and Optimization, and Inside the SQL Server Query Optimizer.

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