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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

Learning about table classes

Tables within DynamoDB can have different capacity modes, and they can also be assigned different storage classes. There are two table classes available in DynamoDB: Standard and Standard-Infrequent Access (Standard-IA).

The table class in DynamoDB primarily pertains to the billing aspect, as there are no differences in terms of performance, integration, or availability between the two classes. Both the Standard and Standard-IA table classes offer similar features, including single-digit millisecond average response times for data access. They utilize the same underlying infrastructure and exhibit the same behavior when it comes to scaling throughput or accommodating data size. Both table classes support seamless integration with other AWS services. The main distinguishing factor lies in the cost structure associated with throughput and data storage.

When comparing the costs of throughput (read and write) and storage between the Standard and Standard...

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