Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Amazon DynamoDB - The Definitive Guide
  • Table Of Contents Toc
Amazon DynamoDB - The Definitive Guide

Amazon DynamoDB - The Definitive Guide

By : Dhingra, Mackay
close
close
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)
close
close
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

Bulk data processing

Although it is not strictly analytics, bulk data processing is crucial for managing large datasets effectively. This could involve truncating outdated data to optimize storage costs or supporting schema evolution in NoSQL databases. As application access patterns change or new features are added, datasets may need updates with new attributes, modifications to existing attributes, or removal of deprecated ones. Additionally, bulk processing can be essential for adding new attributes to create new secondary indexes and support schema evolution.

To explore when bulk processing is needed for DynamoDB tables, consider these example use cases.

Use case 1 – creating a new Global Secondary Index (GSI)

Consider a scenario where your application, two years post-launch, would benefit from a new GSI to support a new feature. Suppose that the sort key of this GSI needs to be a composite attribute, generated by concatenating two existing attributes such as status...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Amazon DynamoDB - The Definitive Guide
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon