Build a Data Pipeline on AWS With Kafka, Kafka Connect, and DynamoDB Posted on : Jul 04 - 2022

This is a two-part series that provides a step-by-step walkthrough of data pipelines. In this post, learn how to integrate DynamoDB with MSK and MSK Connect.

There are many ways to stitch data pipelines: open source components, managed services, ETL tools, etc. In the Kafka world, Kafka Connect is the tool of choice for "streaming data between Apache Kafka and other systems." It has an extensive set of pre-built source and sink connectors as well as a common framework for Kafka connectors, which standardizes integration of other data systems with Kafka and makes it simpler to develop your own connectors, should there be a need to do so.

This is a two-part blog series that provides a step-by-step walkthrough of data pipelines with Kafka and Kafka Connect. I will be using AWS for demonstration purposes, but the concepts apply to any equivalent options (e.g., running these locally using Docker). Here are some of the key AWS services I will be using:

Amazon Managed Streaming for Apache Kafka (MSK): Central component of the data infrastructure

MSK Connect: It will be used to deploy fully managed connectors built for Kafka Connect in order to move data into or pull data from various sources.

Amazon DynamoDB: A fully managed NoSQL database service and in the context of this blog series, it serves as the target/sink for our data pipeline

Amazon Aurora MySQL: A fully managed, MySQL-compatible, relational database engine and is used in the second part of this blog series View More