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Amazon DynamoDB - The Definitive Guide

Amazon DynamoDB - The Definitive Guide

By : Dhingra, Mackay
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Amazon DynamoDB - The Definitive Guide

Amazon DynamoDB - The Definitive Guide

By: Dhingra, 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

Simple Key-Value

Now that we have gotten to know DynamoDB, as well as some of the tooling around its development and operations, let’s dive into one of the most important parts of making the most of Amazon DynamoDB and NoSQL databases in general: data modeling.

Contrary to Mike, I (Aman) was introduced to DynamoDB while working within Amazon Web Services (AWS). I was an engineer in AWS support, focusing on DynamoDB and the big data/analytics suite of services that AWS provides. In this role, I primarily assisted customers who were already using DynamoDB and encountering issues with their implementations. Occasionally, I helped customers with data modeling, but most of my experience revolved around the operational aspects of the service.

After getting a good handle on the operational part, I decided to qualify as a DynamoDB SME internally, which meant that I would need to obtain deep-level knowledge of both the data modeling aspects, as well as the operational. It took...

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