Module 4: Streams & Lambda
Module Overview
In this module, we transform DynamoDB from a static data store into a dynamic Event Source. You will learn how to capture every change in your table and react to it in real-time using AWS Lambda and Kinesis.
Chapters
- DynamoDB Streams
- Learn the architecture of Shards, Sequence Numbers, and Stream View Types (
NEW_AND_OLD_IMAGES). - Visualize how data flows from the table to the stream.
- Learn the architecture of Shards, Sequence Numbers, and Stream View Types (
- Lambda Triggers & Error Handling
- Master the Event Source Mapping (ESM).
- Tune
BatchSizeandBatchWindowfor cost and performance. - Implement robust error handling with
BisectBatchOnFunctionError.
- Kinesis Data Streams Integration
- Scale beyond the limits of DynamoDB Streams.
- Build a Serverless Analytics Pipeline (DynamoDB → Kinesis → Firehose → S3 → Athena).
- Module Review
- Test your knowledge with Flashcards.
- Production Readiness Checklist.
Module Chapters
Chapter 01
DynamoDB Streams
DynamoDB Streams
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Chapter 02
Lambda Triggers & Error Handling
Lambda Triggers & Error Handling
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Chapter 03
Kinesis Data Streams Integration
Kinesis Data Streams Integration
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Chapter 04
Module Review: Streams & Lambda
Module Review: Streams & Lambda
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