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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

NoSQL Workbench for DynamoDB

Having learned about the AWS Management Console, the SDKs, and how to interact with DynamoDB in the previous chapter, the next and probably the most important topic is NoSQL data modeling. A NoSQL database can easily appear to perform poorly or create more blockers than opportunities if the data model is not efficiently aligned with the application’s access patterns.

Data modeling isn’t a one-step process for an application that continues to grow and add more functionalities as it grows. In most cases, it is an iterative process whereby an initial data model is agreed upon to serve the initial set of business requirements. As these requirements are updated, corresponding changes to the data model may be necessary. This should be done with minimal disruption to the production environment. To design and iterate over the first, second, and Nth models, you need both a visual representation mechanism and a tool for the data model development...

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