Amazon DynamoDB: Building NoSQL Database-Driven Applications

  • Job DurationedX
  • Job Duration4 weeks long, 2-5 hours a week
  • Job DurationFree Online Course (Audit)

Project detail


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.


Week 1: Relational and NoSQL Databases

  • SQL, NoSQL and DynamoDB
    • Relational databases and the problems that need solving
    • How most NoSQL databases work
    • Introduction to DynamoDB
    • How DynamoDB works and how it’s different than other NoSQL databases
    • Basic DynamoDB code operations

Week 2: Recovery, SDK Exploration, Monitoring and Partitioning

  • Recovery and SDKs
    • Backing up and restoring a DynamoDB table
    • DynamoDB API Working with datasets
  • Monitoring
    • Monitoring DynamoDB
  • Partition keys
    • Partition keys and their impact on performance

Week 3: Security and State

  • Working with DynamoDB Security
    • Encryption and Compliance
    • Access controls — Identity and Access Management (IAM) and Virtual Private Cloud (VPC) end points
  • State
    • Global tables
    • Stateless applications
    • Streams
  • Acceleration
    • DynamoDB Accelerator

Week 4: Diving deep and best practices

  • Query Optimization
    • Optimistic Locking
    • LSI and GSI
    • DynamoDB API — writing better queries
  • Schema Design
    • Single table
    • DynamoDB transactions and versioning

Languages required