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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

Moving from a Relational Mindset

We hope that the previous chapter, Simple Key-Value, helped you understand a bit about the NoSQL world and particularly how DynamoDB is good at what it was built for – consistent performance at scale. We will build on the same in this chapter, where I’ll attempt to connect DynamoDB data modeling with related aspects from the relational database management systems (RDBMS) world. Although these aspects would be related, they may not necessarily be similar as some of the concepts are more likely the opposite of those in the RDBMS paradigm. For example, we have touched upon the fact that normalization of data with primary and foreign keys is important across relational databases to optimize storage and that is the industry norm, but, with NoSQL, denormalization is strongly encouraged and can very well be the only way to optimize compute as well as support horizontal scaling and the goodness that comes with it.

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