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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
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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

DevOps and Databases

Just like with applications and other components of software engineering, databases also have a set of operational considerations and requirements. Starting from database setup, replication, backup, user access control configuration, monitoring, updates, patching, scalability, availability, resilience, disaster recovery, privacy, localization, performance, throughput, archival up to CI/CD, orchestration, and more, databases has its own laundry list of administrative demands. With the cloud, a vast majority of this list becomes automatic and fully managed by the service provider.

In this chapter, we will take a look at some of these attributes:

  • Upgrades, updates, and patching
  • Monitoring
  • Security, privacy, and encryption
  • Replication and availability
  • Scalability
  • Performance and throughput
  • SLA, SLI, and SLO
  • Data federation
  • CI/CD
  • Database migration service
  • Systems, query, and performance insights

We will also...

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