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18.2 MB
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0119E4A71F0B2AEB9CF765ABFFBEA5EC1CD7DDAC
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April 22, 2026, 1:16 p.m.
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(Last updated: April 22, 2026, 1:16 p.m.)
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| ['Dhingra A. Amazon DynamoDB. Explore enterprise-ready, serverless NoSQL...2024.pdf'] | 0 bytes |
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18.2 MB
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2026-04-22
| Uploaded by andryold1 | Size 18.2 MB | Health [ 48 /15 ] | Added 2026-04-22 |
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SOURCE: Dhingra A. Amazon DynamoDB. Explore enterprise-ready, serverless NoSQL...2024
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COVER
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MEDIAINFO
Textbook in PDF format Key Features: Discover 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 Book Description: 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. What you will learn: Master key-value data modeling in DynamoDB for efficiency Transition from RDBMSs 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 DynamoDB migration strategy Who this book is for: This book is for software architects designing scalable systems, developers optimizing performance with DynamoDB, and engineering managers guiding decision-making. Data engineers will learn to integrate DynamoDB into workflows, while product owners will explore its innovative capabilities. DBAs transitioning to NoSQL will find valuable insights on DynamoDB and RDBMS integration. Basic knowledge of software engineering, Python, and cloud computing is helpful. Hands-on AWS or DynamoDB experience is beneficial but not required. Table of Contents: Amazon 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
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