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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 10: In-Memory OLTP – Why and How to Use it

Performance is crucial for every system's success and it's the same for SQL Server. However, as data contention grows all over the world, the traditional method of continuous algorithm tuning and improving from version to version becomes an insufficient approach. Since 2010, Microsoft has been working on a completely new approach to data processing called Hekaton. The first version was present on SQL Server 2014 as the In-Memory OnLine Transactional Processing (OLTP) feature. It offers new frontiers for developers and administrators to design and maintain speedy applications and also break many limits of traditional disk-based data processing.

In this chapter, we will have a top-level overview of how the In-Memory OLTP architecture works and the requirements for its successful implementation. We will also look at how to create in-memory tables and how to enhance their performance with natively compiled...

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