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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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781804611456

Length 234 pages

Edition 1st Edition

Concepts

Databases

Author (1):

Abirami Sukumaran

View More author details

Table of Contents (18) Chapters

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

Why subscribe?

17. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

AI data modeling

considerations 160

analytical applications 30

examples 30

analytical data modeling

considerations 160

API, enabling in Google Cloud project on Vertex AI

reference link 189

API endpoint and method 104

APIs

enabling, in GCP Console 116

applications of data, on cloud 21

analytics and insights 21

backup and disaster recovery 21

development 21

storage 21

user experience and personalization 22

archival storage 120

artificial intelligence (AI) 4

Atomicity, Consistency, Isolation, and Durability (ACID) properties 31, 48, 93

automatic scaling 142

automatic updates 134

availability 93

B

backup plan 134

big data 21

BigQuery 72, 115

dataset, creating 75, 76

data, streaming into 82

enabling, from console...

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Authors (1)

Sukumaran

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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