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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

Accessing external data with PolyBase

PolyBase has been available in SQL Server since SQL Server 2016, where it introduced the concept of data virtualization. With SQL Server 2019, PolyBase has been greatly enhanced with numerous features and provides support for more data sources, including the following:

  • SQL Server
  • Oracle
  • HDFS
  • MongoDB and others

Outside the common SQL Server deployments, the actual first release of PolyBase was available with Parallel Data Warehouse (a SQL Server workload available as Analytical Appliance) and Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse).

PolyBase is a technology that helps you deliver data virtualization. Simultaneously, data virtualization allows you to access data from the original location without any need for data movement. Instead of moving the data from the source and importing the data into a central location for analysis, the data is simply retrieved through a query.

In the following...

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