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DevOps for Databases

You're reading from   DevOps for Databases A practical guide to applying DevOps best practices to data-persistent technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637300
Length 446 pages
Edition 1st Edition
Concepts
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Author (1):
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David Jambor David Jambor
Author Profile Icon David Jambor
David Jambor
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Database DevOps
2. Chapter 1: Data at Scale with DevOps FREE CHAPTER 3. Chapter 2: Large-Scale Data-Persistent Systems 4. Chapter 3: DBAs in the World of DevOps 5. Part 2: Persisting Data in the Cloud
6. Chapter 4: Cloud Migration and Modern Data(base) Evolution 7. Chapter 5: RDBMS with DevOps 8. Chapter 6: Non-Relational DMSs with DevOps 9. Chapter 7: AI, ML, and Big Data 10. Part 3: The Right Tool for the Job
11. Chapter 8: Zero-Touch Operations 12. Chapter 9: Design and Implementation 13. Chapter 10: Database Automation 14. Part 4: Build and Operate
15. Chapter 11: End-to-End Ownership Model – a Theoretical Case Study 16. Chapter 12: Immutable and Idempotent Logic – A Theoretical Case Study 17. Chapter 13: Operators and Self-Healing Data Persistent Systems 18. Chapter 14: Bringing Them Together 19. Part 5: The Future of Data
20. Chapter 15: Specializing in Data 21. Chapter 16: The Exciting New World of Data 22. Index 23. Other Books You May Enjoy

Non-Relational DMSs with DevOps

In this chapter, we will navigate the intricate yet fascinating landscape of integrating non-relational database management systems (also known as NoSQL) with DevOps. We will begin by examining the pivotal role that data modeling plays in NoSQL databases, shedding light on how it differs from its counterpart in relational databases.

Then, we will explore schema management. As NoSQL databases offer flexible schemas, we’ll delve into how this flexibility can be both an asset and a challenge when managed within a DevOps framework. From there, we’ll move on to the crucial topic of deployment automation, where we will discuss how automated tools and workflows can greatly streamline the deployment process.

Performance tuning will also command our attention. As the scale of data grows exponentially, we’ll learn how to fine-tune our NoSQL databases to meet the demanding performance criteria that modern applications require. Subsequently...

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