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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
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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

The emergence of cloud computing and big data

In the last decade, the role of the DBA has continued to evolve, as new technologies and trends have emerged. Two of the most significant trends that are shaping the role of the DBA today are cloud computing and big data.

Cloud computing has changed the way that databases are managed and deployed, and has presented new challenges and opportunities for DBAs. With the rise of cloud-based databases such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, DBAs are increasingly responsible for managing databases in the cloud, and for working with cloud-based tools and technologies.

Cloud-based databases offer many benefits, including scalability, flexibility, and cost-effectiveness. However, they also present new challenges, such as security and compliance concerns, and the need to manage databases across multiple cloud providers and platforms.

Big data refers to the large and complex datasets that are generated...

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