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SQL Server 2019 Administrator's Guide - Second Edition

You're reading from  SQL Server 2019 Administrator's Guide - Second Edition

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781789954326
Pages 522 pages
Edition 2nd Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details

Table of Contents (17) Chapters

Preface 1. Section 1: Provisioning the SQL Server Environment
2. Chapter 1: Setting Up SQL Server 2019 3. Chapter 2: Keeping Your SQL Server Environment Healthy 4. Section 2: Server and Database Maintenance
5. Chapter 3: Implementing Backup and Recovery 6. Chapter 4: Securing Your SQL Server 7. Chapter 5: Working with Disaster Recovery Options 8. Chapter 6: Indexing and Performance 9. Section 3: High Availability and the Cloud with SQL Server 2019
10. Chapter 7: Planning Migration and Upgrade 11. Chapter 8: Automation – Using Tools to Manage and Monitor SQL Server 2019 12. Chapter 9: Configuring Always On High Availability Features 13. Chapter 10: In-Memory OLTP – Why and How to Use it 14. Chapter 11: Combining SQL Server 2019 with Azure 15. Chapter 12: Taming Big Data with SQL Server 16. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Introducing Microsoft SQL Server 2019

Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Gregory Woody

ISBN: 978-1-83882-621-5

  • Build a custom container image with a Dockerfile
  • Deploy and run the SQL Server 2019 container image
  • Understand how to use SQL server on Linux
  • Migrate existing paginated reports to Power BI Report Server
  • Learn to query Hadoop Distributed File System (HDFS) data using Azure Data Studio
  • Understand the benefits of In-Memory OLTP

Mastering Azure Machine Learning

Christoph Körner, Kaijisse Waaijer

ISBN: 978-1-78980-755-4

  • Setup your Azure Machine Learning workspace for data experimentation and visualization
  • Perform ETL, data preparation, and feature extraction using Azure best practices
  • Implement advanced feature extraction using...
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