0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Amazon DynamoDB - The Definitive Guide

You're reading from Amazon DynamoDB - The Definitive Guide Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781803246895

Length 414 pages

Edition 1st Edition

Languages

Java

Tools

AWS

Concepts

Databases

Author (1):

Aman Dhingra

View More author details

Table of Contents (24) Chapters

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

Why subscribe?

23. Other Books You May Enjoy

Part 5: Analytical Use Cases and Migrations

The final part addresses analytical use cases and data migration strategies. Enhanced analytical patterns are discussed to leverage DynamoDB data for complex querying and data analysis tasks. The chapter on migrations provides comprehensive guidelines for moving data from other databases to DynamoDB, ensuring a smooth and efficient transition. These chapters equip you with the knowledge to handle sophisticated data processing tasks and integrate DynamoDB into your existing systems and workflows.

Part 5 has the following chapters:

Chapter 15, Enhanced Analytical Patterns
Chapter 16, Migrations

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Dhingra

Dhingra

Aman Dhingra is a Senior DynamoDB specialist solutions architect at AWS, where he assists organizations in leveraging AWS to its fullest potential. He focuses on designing cost-efficient solutions and maximizing the agility and elasticity offered by the cloud and AWS. With a specialization in Amazon DynamoDB and NoSQL databases, Aman is also well-versed in AWS' big data suite of technologies, many of which are tightly integrated with open source projects. Aman is Dublin, Ireland-based. You can connect with the author on LinkedIn at amdhing.

See other products by Dhingra

Mackay

Mackay

Mike Mackay was a senior NoSQL specialist solutions architect at AWS, known as one of the early AWS architects in Europe specializing in NoSQL technologies. Before AWS, he was technical director at Digital Annexe / Your Favourite Story and head of development for Outside Line. Mike's freelance work includes collaborations with Warner Brothers (UK), Heineken Music, and Alicia Keys. He has also written PHP tutorials for .net magazine and Linux Format. His projects with Outside Line featured prominent clients such as The Hoosiers, Oasis, and Paul McCartney. Outside of work, Mike loved to chat about F1 and indulge in DJ. Mike was London/Essex-based. Check out Mike's LinkedIn at mikemackay82.

See other products by Mackay

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.