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Implement a serverless CDC process with Apache Iceberg using Amazon DynamoDB and Amazon Athena

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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.

  • Architecture involves ingesting semi-structured JSON data into DynamoDB
  • Uses DynamoDB Streams and AWS Lambda to identify and process data changes
  • Supports insert, update, and delete operations on Iceberg tables
  • Provides capabilities like time travel and table optimization
  • Allows querying historical data snapshots and compacting small data files

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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