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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

Operational aspects of cloud relational databases

Apart from the key features and setup details we discussed so far, there are some key operational considerations that every organization or startup needs to assess before starting their database design journey. We will look at only a few key operational considerations and how Cloud SQL supports these aspects.

Migration

Cloud SQL’s Database Migration Service comes in handy from the Google Cloud perspective; it simplifies migrations on-premise or from other cloud providers to Google Cloud SQL. Its key features are that it is very simple, has minimal downtime migration, and is fully serverless to set up without any operational burden.

Monitoring

We can monitor Cloud SQL instances from the Cloud Monitoring dashboard to cover metrics such as CPU utilization, active connections, storage usage, memory usage, read and write operations, ingress and egress bytes, queries, questions, and so much more.

Query Insights

Beyond...

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