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Database Design and Modeling with Google Cloud

You're reading from   Database Design and Modeling with Google Cloud Learn database design and development to take your data to applications, analytics, and AI

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804611456
Length 234 pages
Edition 1st Edition
Concepts
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Author (1):
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Abirami Sukumaran Abirami Sukumaran
Author Profile Icon Abirami Sukumaran
Abirami Sukumaran
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Database Model: Business and Technical Design Considerations
2. Chapter 1: Data, Databases, and Design FREE CHAPTER 3. Chapter 2: Handling Data on the Cloud 4. Part 2:Structured Data
5. Chapter 3: Database Modeling for Structured Data 6. Chapter 4: Setting Up a Fully Managed RDBMS 7. Chapter 5: Designing an Analytical Data Warehouse 8. Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
9. Chapter 6: Designing for Semi-Structured Data 10. Chapter 7: Unstructured Data Management 11. Part 4:DevOps and Databases
12. Chapter 8: DevOps and Databases 13. Part 5:Data to AI
14. Chapter 9: Data to AI – Modeling Your Databases for Analytics and ML 15. Chapter 10: Looking Ahead – Designing for LLM Applications 16. Index 17. Other Books You May Enjoy

Summary

As for any DevOps team’s dreams, the goal of this chapter has been to help you get started with understanding the fundamentals and importance of enabling organizations and teams to just focus on the business priorities and code, and leave the rest to the cloud platform. This way, DevOps teams can focus on more innovative activities that enable business growth while the platform keeps the lights on for you.

In this chapter, we have comprehensively explored the crucial intersection of DevOps practices and database operations with focused information on managing databases in the Google Cloud ecosystem. We have covered operational aspects such as maintenance, monitoring, security, privacy, encryption, replication, availability, consistency, scalability, performance, throughput, SLA, SLI, SLO, data federation, CI/ CD, migration, insights, and how to address some of these with Google Cloud databases and services.

In the upcoming chapters, we will look at data modeling...

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