Amazon DynamoDB: Building NoSQL Database-Driven Applications

edX
Training overview
Professional Course
Virtual Classroom
4 weeks
From 99 USD

Start dates
Online
99 USD
Inquire for more information

Course description

Amazon DynamoDB: Building NoSQL Database-Driven Applications

This course introduces you to NoSQL databases and the challenges they solve. Expert instructors will dive deep into Amazon DynamoDB topics such as recovery, SDKs, partition keys, security and encryption, global tables, stateless applications, streams, and best practices.

DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multiregion, multimaster database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and support peaks of more than 20 million requests per second.

This course uses a combination of video-based lectures delivered by Amazon Web Services expert technical trainers, demonstrations, and hands-on lab exercises, that you run in your own AWS account to enable you to build, deploy and manage your own DynamoDB-powered application.

Who should attend?

Prerequisites

  • Prior application development experience
  • Experience with the AWS Management Console
  • Recommended: AWS Developer Professional Series (Building on AWS, Deploying on AWS, Optimizing on AWS)

Training content

  • Relational and NoSQL Databases
  • Recovery, SDK Exploration, Monitoring and Partitioning
  • Security and State
  • Diving deep and best practices

Course delivery details

This course is offered through Amazon Web Services, a partner institute of EdX.

2-5 hours per week

Costs

  • Verified Track -$99
  • Audit Track - Free

Certification / Credits

What you'll learn

  • How NoSQL databases differ from relational databases and the challenges they solve
  • How to provision, manage and interact with a DynamoDB table
  • How to secure your DynamoDB database
  • How to use partition keys and scaling options to ensure optimal performance

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