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Amazon DynamoDB - The Definitive Guide

You're reading from   Amazon DynamoDB - The Definitive Guide Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781803246895
Length 414 pages
Edition 1st Edition
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Author (1):
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Aman Dhingra Aman Dhingra
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Aman Dhingra
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Table of Contents (24) Chapters Close

Preface 1. Part 1:Introduction and Setup
2. Chapter 1: Amazon DynamoDB in Action FREE CHAPTER 3. Chapter 2: The AWS Management Console and SDKs 4. Chapter 3: NoSQL Workbench for DynamoDB 5. Part 2: Core Data Modeling
6. Chapter 4: Simple Key-Value 7. Chapter 5: Moving from a Relational Mindset 8. Chapter 6: Read Consistency, Operations, and Transactions 9. Chapter 7: Vertical Partitioning 10. Chapter 8: Secondary Indexes 11. Part 3: Table Management and Internal Architecture
12. Chapter 9: Capacity Modes and Table Classes 13. Chapter 10: Request Routers, Storage Nodes, and Other Core Components 14. Part 4: Advanced Data Management and Caching
15. Chapter 11: Backup, Restore, and More 16. Chapter 12: Streams and TTL 17. Chapter 13: Global Tables 18. Chapter 14: DynamoDB Accelerator (DAX) and Caching with DynamoDB 19. Part 5: Analytical Use Cases and Migrations
20. Chapter 15: Enhanced Analytical Patterns 21. Chapter 16: Migrations 22. Index 23. Other Books You May Enjoy

Summary

In this chapter, we built some foundation on the NoSQL data modeling theory by looking at the very basic, simple key-value mechanism. We learned how this works in the realm of DynamoDB and how DynamoDB can horizontally scale but still support consistent performance. We also covered how the mapping of keys across partitions works with a telephone directory analogy. We read about singleton operations and how they support the key-value mechanism within DynamoDB.

We covered how database access analyses within the amazon.com retail platform showed findings of 70-90% of access being of the key-value kind. We also learned that there are use cases across industries where the database access is of the key-value kind.

We walked through practical examples of performing singleton GetItem and PutItem operations on the sample Employee table using multiple means such as the AWS CLI, as well as Boto3, the AWS Python SDK.

Finally, we learned about the different data types supported...

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