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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
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11
Part 3: Table Management and Internal Architecture
14
Part 4: Advanced Data Management and Caching
19
Part 5: Analytical Use Cases and Migrations

Part 2: Core Data Modeling

This part dives into the core principles of data modeling in DynamoDB. It starts with the basic key-value structure and discusses the transition from a relational database mindset to DynamoDB’s schema-less model. It also explores essential topics such as read consistency, operations, and transaction management. Advanced data modeling techniques, including vertical partitioning and the use of secondary indexes are also covered. These concepts are critical for managing large datasets and ensuring efficient query performance. By the end of this part, you’ll be well-versed in the fundamental and advanced techniques needed to model your data effectively in DynamoDB.

Part 2 has the following chapters:

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