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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

Designing for Semi-Structured Data

So far, we have discussed relational databases and analytics design for structured data. Now, we will look at semi-structured data and design considerations for it by looking at a hands-on example. In this chapter, you will learn about the fundamentals of semi-structured data with examples and real-world use cases, the characteristics of semi-structured data, design considerations, and the components of a document database. We will also explore setting up and configuring a serverless document database (Firestore), creating indexes, and querying your data with APIs.

In this chapter, we’ll cover the following topics:

Semi-structured data
NoSQL for semi-structured data
Firestore and its features
Firestore setup
Security
Client libraries and APIs
Indexing
Data model considerations
Easy querying with RunQuery API

The rest of the chapter is locked

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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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