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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
Author Profile Icon Aman Dhingra
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

Vertical Partitioning

In the preceding chapters of this book, we went from grasping the fundamentals of DynamoDB to exploring interactions and adopting a NoSQL mindset. We dove into the nuances of data modeling and optimizing data models as per our access patterns, considering the application’s read- or write-heavy requirements.

Our exploration also covered the misconception that NoSQL implies non-relational, clarifying that while data is always relational, its representation and organization in NoSQL systems differ. We examined the approaches of single-table design and multi-table design, emphasizing the mantra Data that needs to be accessed together must be stored together. Balancing performance and cost considerations is crucial in deciding between these approaches.

This chapter mostly focuses on single-table design – specifically, on the vital concept of data modeling known as Vertical Partitioning. At a high level, vertical partitioning involves breaking items...

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