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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

Summary

In this chapter, we introduced the NoSQL Workbench client application, a valuable tool for database development and operations. We explored the data modeler, focusing on its role in defining effective data models. The Visualizer was discussed for its powerful capability to represent data from different perspectives based on key schemas for tables and secondary indexes. Additionally, we dove into the functions of the Operation Builder, highlighting its role in interacting with DynamoDB services or locally, enhancing developer productivity by generating boilerplate code for various DynamoDB data plane operations. Apart from the subtools, we also learned about using DynamoDB Local via NoSQL Workbench.

We walked through a sample Employee dataset, demonstrating how to update data in the model, define a new secondary index, and visualize the resulting index data. The final step involved committing the model to DynamoDB, followed by verification through interactions with the table...

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