SQL Server 2019 Administrator's Guide Second Edition

Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly available

▶What You Will Learn
⦁ Discover SQL Server 2019's new features and how to implement them
⦁ Fix performance issues by optimizing queries and making use of indexes
⦁ Design and use an optimal database management strategy
⦁ Combine SQL Server 2019 with Azure and manage your solution using various automation techniques
⦁ Implement efficient backup and recovery techniques in line with security policies
⦁ Get to grips with migrating, upgrading, and consolidating with SQL Server
⦁ Set up an AlwaysOn-enabled stable and fast SQL Server 2019 environment
⦁ Understand how to work with Big Data on SQL Server environments

▶Key Features
⦁ Explore new features of SQL Server 2019 to set up, administer, and maintain your database solution successfully
⦁ Develop a dynamic SQL Server environment and streamline big data pipelines
⦁ Discover best practices for fixing performance issues, database access management, replication, and security

▶Who This Book Is For
This book is for database administrators, database developers, and anyone who wants to administer large and multiple databases single-handedly using Microsoft's SQL Server 2019. Basic awareness of database concepts and experience with previous SQL Server versions is required.

▶What this book covers
⦁ Chapter 1, Setting Up SQL Server 2019, offers an overview of the SQL Server technology stack, tooling, and several recipes on how to install technologies and features of SQL Server the right way.

⦁ Chapter 2, Keeping Your SQL Server Environment Healthy, provides a plethora of follow-up activities once SQL Server is configured, including post-installation configuration, to follow best practices for maintenance and operations.

⦁ Chapter 3, Implementing Backup and Recovery illustrates the importance of data reliability and accessibility as the key responsibilities of every database administrator. It also explains all aspects of proper recovery strategies as well as all the knowledge needed to configure backup and restore strategies properly.

⦁ Chapter 4, Securing Your SQL Server, outlines the options for securing the server from a number of perspectives, starting with service accounts, authentication, auditing, and other important tasks for overall security management.

⦁ Chapter 5, Working with Disaster Recovery Options, outlines the list of options available to help overcome any disaster when operations go down.

⦁ Chapter 6, Indexing and Performance, provides an overview of performance monitoring techniques. As a part of performance optimization, indexing is also explained here.

⦁ Chapter 7, Planning Migration and Upgrade provides practical information on how to plan a migration and upgrade the older version of the SQL Server environment to the current version.

⦁ Chapter 8, Automation – Using Tools to Manage and Monitor SQL Server 2019, shows how to proactively use tools to manage SQL Server 2019 and to monitor its health, together with an in-depth look at techniques and tools used for automation on SQL Server.

⦁ Chapter 9, Configuring Always On High-Availability Features, shows practical information and examples of how to plan, configure, and manage Always On configuration for your SQL Server environment and also provides information on the High Availability/Disaster Recovery technology that is required for SQL Server.

⦁ Chapter 10, In-Memory OLTP – Why and How to Use It, illustrates the strong features of In-Memory OLTP in terms of dramatically increasing the throughput of transactions in SQL Server databases by describing how and in which cases to implement, use, and monitor In-Memory OLTP.

⦁ Chapter 11, Combining SQL Server 2019 with Azure, illustrates how cloud solutions have become common in many cases by explaining how Azure can help with several scenarios and also provides an overview of SQL technologies offered by Azure.

⦁ Chapter 12, Taming Big Data with SQL Server, incorporates a new feature for managing big data workloads, called big data clusters, but that's not the only option as regards how to work with big data, and in this chapter you'll find out how to tame the monster.