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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

Immutable and Idempotent Logic – A Theoretical Case Study

In this chapter, we’ll embark on a comprehensive journey through the fundamental principles and practical applications of immutable and idempotent logic in data-persisting technologies. We will begin by laying a solid foundation with an introduction to these critical concepts, emphasizing their role in maintaining data integrity and reliability.

Subsequently, we will explore how immutable logic is harnessed within data-persisting technologies to ensure data immutability and consistency. Alongside this, we will delve into the world of idempotent logic, demonstrating how it facilitates the graceful handling of repeated operations, a crucial aspect of data persistence.

Then, we will transition into the real-world domain, where we will present practical examples and use cases, offering a tangible understanding of how organizations can leverage these concepts to enhance their data persistence strategies. Complementing...

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