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SQL Server 2019 Administrator's Guide

You're reading from   SQL Server 2019 Administrator's Guide A definitive guide for DBAs to implement, monitor, and maintain enterprise database solutions

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789954326
Length 522 pages
Edition 2nd Edition
Languages
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Authors (2):
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Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Provisioning the SQL Server Environment
2. Chapter 1: Setting Up SQL Server 2019 FREE CHAPTER 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

Chapter 12: Taming Big Data with SQL Server

In this last chapter, we will work with data outside of SQL Server. We will introduce technologies that can be used to access external data that also have capabilities that are used for big data processing. One of the newest features of SQL Server 2019 is known as Big Data Clusters, which combines the workload of SQL Server, scalable storage filesystems, and the Spark engine using containers managed by Kubernetes. This will take us away from the common relational data approach we are used to in SQL Server.

In this chapter, we will cover the following main topics:

  • Big data overview
  • Accessing external data with PolyBase
  • Explaining the SQL Server Big Data Clusters architecture and deployment
  • Working with a SQL Server Big Data Clusters workload

Let's get started!

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