Getting Started

Introduction to Amazon DynamoDB (6:44)

Introduction to Amazon DynamoDB

Learn about Amazon DynamoDB concepts and best practices and then practice with a free lab at http://amzn.to/1TieXHF Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model and reliable performance make it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.

Getting Started

You can be up and running with DynamoDB in just 10 minutes with this step-by-step tutorial, then start this self-paced learning quest.

If you are familiar with Structured Query Language, start with this SQL to NoSQL guide.

Code samples for .NET, Java, Node.js, PHP, Python, and Ruby are included in our Getting Started Guide. You can find even more language- and framework-specific tools and libraries on our Community page.

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AWS Free Tier offers 25 GB of storage, up to 200 million requests per month with Amazon DynamoDB.

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Intro Videos

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Getting Started with Amazon DynamoDB - April 2016 - NY Loft — April 2016 - Getting Started with Amazon DynamoDB

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DAT307 Introduction to Managed Database Services on AWS — AWS re:Invent 2016: Introduction to Managed Database Services on AWS (DAT307)

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DAT208 Capturing Windows of Opportunity Real-Time Analytics for Less Than $1000 — AWS re:Invent 2016: Capturing Windows of Opportunity: Analytics for less than $1000 (DAT208)

Design and Optimize

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DAT309 How Fulfillment by Amazon (FBA) and Scopely Improved Results and Reduced Costs with a Serverless Architecture — AWS re:Invent 2016: How Fulfillment by Amazon and Scopely Improved Results with a Serverless Architecture (DAT309)

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DAT311 How Toyota Racing Development Makes Racing Decisions in Real Time with AWS — AWS re:Invent 2016: Toyota Racing Development Makes Racing Decisions in Real Time with AWS (DAT311)

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DAT310 Building Real-Time Campaign Analyti — AWS re:Invent 2016: Building Real-Time Campaign Analytics Using AWS Services (DAT310)

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SVR302 Optimizing the Data Tier in Serverless Web Applications — AWS re:Invent 2016: Optimizing the Data Tier in Serverless Web Applications (SVR302)

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DAT313 6 Million New Registrations in 30 Days How the Chick-fil-A One App Scaled with AWS — AWS re:Invent 2016: 6 Million New Registrations in 30 Days: the Chick-fil-A One App Scaled (DAT313)

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DAT318 Migrating from RDBMS to NoSQL How PlayStationTM Network Moved from MySQL to Amazon DynamoDB — AWS re:Invent 2016: Migrating from RDBMS to NoSQL: How PlayStation™ Network Moved from MySQL to DynamoDB (DAT318)

Analyze and Scale

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Amazon DynamoDB January 2016 Day at the SF Loft - How to Design NoSQL Tables and Avoid Hot Keys — Jan. 2016 - How to Design NoSQL Tables and Avoid Hot Keys

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ARC404 Migrating a Highly Available and Scalable Service from Oracle to Amazon DynamoDB — AWS re:Invent 2016: Migrating a Scalable Database from Oracle to DynamoDB (ARC404)

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DAT304 Deep Dive on Amazon DynamoDB — re:Invent 2016 | Deep Dive on Amazon DynamoDB (DAT304)

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Amazon DynamoDB for Big Data

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Your First Big Data Application on AWS

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Practical DynamoDB Programming in Java

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