
This article presents a serverless Change Data Capture (CDC) solution using Apache Iceberg, Amazon DynamoDB, and Amazon Athena to capture and propagate data changes from semi-structured sources into a data lake with ACID compliance.


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This article discusses implementing a serverless Change Data Capture (CDC) process using Apache Iceberg, Amazon DynamoDB, and Amazon Athena. The solution enables tracking and propagating data changes in semi-structured datasets efficiently.
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<li>Architecture involves ingesting semi-structured JSON data into DynamoDB</li>
<li>Uses DynamoDB Streams and AWS Lambda to identify and process data changes</li>
<li>Supports insert, update, and delete operations on Iceberg tables</li>
<li>Provides capabilities like time travel and table optimization</li>
<li>Allows querying historical data snapshots and compacting small data files</li>
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The solution demonstrates a serverless approach to handling data changes in a data lake environment, enabling ACID compliance and efficient data management for semi-structured datasets.
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