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Database Design and Modeling with Google Cloud

You're reading from Database Design and Modeling with Google Cloud

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781804611456

Pages 234 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Abirami Sukumaran

Table of Contents (18) Chapters

Preface

1. Part 1:Database Model: Business and Technical Design Considerations

2. Chapter 1: Data, Databases, and Design

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

Why subscribe?

17. Other Books You May Enjoy

Cloud SQL

Cloud SQL is a fully managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on the Google Cloud Platform. It supports up to 99.99% availability and supports up to 64 TB of storage, with the ability to automatically increase storage size as needed. You can use Cloud SQL with MySQL, PostgreSQL, and SQL Server.

As we already discussed, Cloud SQL is a fully managed database and Google will take care of all operational activities including minor version upgrades, backup, recovery, scaling (if user configures for it), failover, monitoring, authorization, networking, security, observability, and so on. The following are some of its key features:

Cloud SQL provides integration to other Google Cloud services such as Cloud Run, GKE, Cloud Functions, BigQuery, and Compute Engine
It has secure access
It has high availability with its zonal/regional database replication feature
It can scale up by adding...

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Authors (1)

Abirami Sukumaran

Abirami Sukumaran is a lead developer advocate at Google, focusing on databases and data to AI journey with Google Cloud. She has over 17 years of experience in data management, data governance, and analytics across several industries in various roles from engineering to leadership, and has 3 patents filed in the data area. She believes in driving social and business impact with technology. She is also an international keynote, tech panel, and motivational speaker, including key events like Google I/O, Cloud NEXT, MLDS, GDS, Huddle Global, India Startup Festival, Women Developers Academy, and so on. She founded Code Vipassana, an award-winning, non-profit, tech-enablement program powered by Google and she runs with the support of Google Developer Communities GDG Cloud Kochi, Chennai, Mumbai, and a few developer leads. She is pursuing her doctoral research in business administration with artificial intelligence, is a certified Yoga instructor, practitioner, and an Indian above everything else.

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