Harness the potential and scalability of DynamoDB to effortlessly construct resilient, low-latency databases
Key Features:
- Explore how DynamoDB works behind the scenes to make the most of its features
- Learn how to keep latency and costs minimal even when scaling up
- Integrate DynamoDB with other AWS services to create a full data analytics system
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
This book is your comprehensive resource to mastering 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 deep expertise to equip you with the knowledge and skills 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 guide also dives into advanced topics like enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.
Whether you're migrating from a traditional relational database world or seeking to deepen your understanding of NoSQL, this book will help you design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.
What You Will Learn:
- Master key-value data modeling in DynamoDB for efficiency
- Transition from RDBMS to NoSQL with optimized strategies
- Implement read consistency and ACID transactions effectively
- Explore vertical partitioning for specific data access patterns
- Optimize data retrieval using secondary indexes in DynamoDB
- Manage capacity modes, backup strategies, and core components
- Enhance DynamoDB with caching, analytics, and global tables
- Evaluate and Design your migration strategy to DynamoDB
Who this book is for:
This book is for database developers looking to expand their knowledge and use of DynamoDB to fully leverage its power and features. A basic understanding of NoSQL databases and familiarity with either Python or Node.js is expected. While hands-on experience with DynamoDB is beneficial, it is not required to follow along with the concepts covered in the book.
Table of Contents
- DynamoDB in Action
- The AWS Management Console and SDKs
- NoSQL Workbench for DynamoDB
- Simple Key-Value
- Moving from a Relational Mindset
- Read Consistency, Operations, and Transactions
- Vertical Partitioning
- Secondary Indexes
- Capacity Modes and Table Classes
- Request Routers, Storage Nodes, and Other Core Components
- Backup, Restore, and More
- Streams and TTL
- Global Tables
- DynamoDB Accelerator (DAX) and Caching with DynamoDB
- Enhanced Analytical Patterns
- Migrations
