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LABINTERMEDIATE

DynamoDB Streams to Lambda — Event-Driven Data Pipeline

Build an event-driven pipeline where DynamoDB Streams trigger a Lambda function that automatically writes audit records to a second table.

40 minutes
infrastructure/aws
DynamoDB Streams to Lambda — Event-Driven Data Pipeline - Platform Engineering Hands-On Lab Icon

Lab Overview

Build a complete event-driven data pipeline on AWS using DynamoDB Streams and Lambda. You will create a DynamoDB Orders table with a Global Secondary Index, enable Streams, and deploy a Lambda consumer that automatically writes summary records to an OrderAudit table whenever items are inserted or modified.

You'll learn to:

  • Create DynamoDB tables with partition keys, sort keys, and on-demand capacity
  • Add a Global Secondary Index for alternate query patterns
  • Enable DynamoDB Streams with NEW_AND_OLD_IMAGES view type
  • Create a Lambda execution role with DynamoDB and CloudWatch permissions
  • Deploy a Python Lambda that processes stream events
  • Wire an event source mapping from DynamoDB Streams to Lambda
  • Query a GSI by a specific partition key

Key Resources:

What You'll Learn

Create DynamoDB tables with composite primary keys and on-demand billing

Configure a Global Secondary Index for alternate query access patterns

Enable and configure DynamoDB Streams on a table

Deploy a Lambda function that processes DynamoDB stream records

Create an event source mapping between DynamoDB Streams and Lambda

Query a GSI to retrieve items by a non-primary-key attribute

Prerequisites

Basic AWS CLI familiarity

Understanding of JSON data formats

Familiarity with IAM roles and policies

Technologies Covered

awsdynamodblambdadynamodb-streamsevent-drivenserverlessgsi

Part of a Course

This lab is part of the AWS Solutions Architect Associate (SAA-C03) course

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