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.

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