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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

ACID transactions 108, 118

key highlights 120-122

versus traditional RDBMS transactions 119, 120

adaptive capacity 176, 177

additional access patterns

example models 145-151

handling 145

additional access patterns, example models

app authentication 147-149

employee data model 149-151

e-wallet 146, 147

Amazon Athena 327

Amazon DynamoDB 3, 215

Amazon EventBridge Pipes 265

Amazon Herd 9

Amazon Keyspaces 45

Amazon MemoryDB 313

Amazon RDS 353

Amazon Resource Name (ARN) 246

Amazon Simple Storage Service (Amazon S3) 321

Amazon Web Services (AWS) 3

analytical patterns

building blocks 325

exploring 325

analytical use cases 328

batch jobs and downstream data sharing, powering 329

business dashboards and periodic reports, powering...

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