Microsoft SQL Server 2017 on Linux

Microsoft SQL Server 2017 on Linux

<div><div><b>Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, <span style="white-space: pre;"></span>authenticity, or access to any online entitlements included with the product.</b></div><div><b><br></b></div><div><b><br></b></div><div><b>Essential Microsoft® SQL Server® 2017 installation, configuration, and management techniques for Linux</b></div><div><b><br></b></div><div><b>Foreword by Kalen Delaney, Microsoft SQL Server MVP</b></div><div><b><br></b></div><div>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, <i>Microsoft SQL Server 2017 on Linux</i> 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.</div><div><br></div><div>•<span style="white-space:pre"></span>Understand how SQL Server 2017 on Linux works</div><div>•<span style="white-space:pre"></span>Install and configure SQL Server on Linux</div><div>•<span style="white-space:pre"></span>Run SQL Server on Docker containers</div><div>•<span style="white-space:pre"></span>Learn Linux Administration</div><div>•<span style="white-space:pre"></span>Troubleshoot and tune query performance in SQL Server</div><div>•<span style="white-space:pre"></span>Learn what is new in SQL Server 2017</div><div>•<span style="white-space:pre"></span>Work with adaptive query processing and automatic tuning techniques</div><div>•<span style="white-space:pre"></span>Implement high availability and disaster recovery for SQL Server on Linux</div><div>•<span style="white-space:pre"></span>Learn the security features available in SQL Server</div></div><div><br></div><div><br></div>