Artwork

Content provided by Propel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Propel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Flattening DynamoDB JSON in ClickHouse

11:36
 
Share
 

Manage episode 452564600 series 3619575
Content provided by Propel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Propel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 452564600 series 3619575
Content provided by Propel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Propel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

10 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play