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Amazon DynamoDB - The Definitive Guide

Amazon DynamoDB - The Definitive Guide

By : Aman Dhingra, Mike Mackay
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Amazon DynamoDB - The Definitive Guide

Amazon DynamoDB - The Definitive Guide

By: Aman Dhingra, Mike Mackay

Overview of this book

This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential. This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies. By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.
Table of Contents (24 chapters)
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1
Part 1:Introduction and Setup
5
Part 2: Core Data Modeling
11
Part 3: Table Management and Internal Architecture
14
Part 4: Advanced Data Management and Caching
19
Part 5: Analytical Use Cases and Migrations

Summary

In this chapter, we built some foundation on the NoSQL data modeling theory by looking at the very basic, simple key-value mechanism. We learned how this works in the realm of DynamoDB and how DynamoDB can horizontally scale but still support consistent performance. We also covered how the mapping of keys across partitions works with a telephone directory analogy. We read about singleton operations and how they support the key-value mechanism within DynamoDB.

We covered how database access analyses within the amazon.com retail platform showed findings of 70-90% of access being of the key-value kind. We also learned that there are use cases across industries where the database access is of the key-value kind.

We walked through practical examples of performing singleton GetItem and PutItem operations on the sample Employee table using multiple means such as the AWS CLI, as well as Boto3, the AWS Python SDK.

Finally, we learned about the different data types supported...

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