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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

Firestore and its features

Firestore is a serverless document database that scales easily and flexibly to meet any growing demand with no maintenance. In the Firestore database, data is stored as documents that are organized into collections. Documents contain subcollections, nested objects, and complex objects such as lists. If you don’t start by creating a collection or document for your use case, Firestore automatically creates it as needed. The following are some key features that stand out to me in using Firestore as a document database:

  • Firestore, being fully managed and serverless, allows developers to focus fully on application development and effortlessly scale up and down without any maintenance or downtime.
  • Since it supports live sync and offline mode, it is ideal for mobile and web applications in several real-time use cases and remote low-accessibility situations.
  • The powerful query engine allows you to run ACID transactions on document data.
  • ...
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