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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

Capacity Modes and Table Classes

With DynamoDB, users only need to think about having a good design along with the read and write throughput depending on the capacity mode of the table. Capacity modes determine how users are billed for the use of their DynamoDB tables, and they also affect how the table can scale.

To understand capacity modes, let us consider an analogy. Imagine you are running a restaurant. You have a limited number of tables and seats to accommodate your customers, and you must decide how many servers and chefs to employ based on the expected number of customers. If you overestimate the number of customers and hire too many servers and chefs, you will be wasting money. On the other hand, if you underestimate the number of customers and have too few servers and chefs, you will be providing poor service and losing customers. Capacity modes in DynamoDB work in a similar way, and they help you to avoid the problems of over- or under-provisioning.

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