This episode of the ClickHouse Podcast discusses how to flatten DynamoDB JSON using ClickHouse to set up a scalable, analyzable pipeline. DynamoDB is a key-value and document database, while ClickHouse is a columnar store. This transformation makes it significantly easier to query the data in ClickHouse. The process involves creating multiple Materialized Views that help unpack the nested JSON structure and partition the data by table or entity.
The episode walks through the steps to flatten DynamoDB JSON using ClickHouse, including:

Getting your DynamoDB events to ClickHouse
Creating a Materialized View for flattening
Flattening individual tables
Handling single-table design

This approach will ensure you have the flexibility to query your data efficiently and make the most of your event-driven data architecture.

Want to dig deeper?
https://www.propeldata.com/blog/flattening-dynamodb-json-in-clickhouse

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