3min chapter

The Analytics Engineering Podcast cover image

Building an Open Source Company (w/ Aaron Katz of ClickHouse)

The Analytics Engineering Podcast

CHAPTER

The Challenges of Minding Observability Data for Business Analytics

click house was designed for sopher engineers to use in their production applications where you need to have an exposed analytic experience. It's cost efficient enough to make it reasonable to store that raw data indefinitely, even if its uncompressed size is measured in pedabites. And then it was also cheaper, cause you do some cool things on the compression so that you're not storing as much when you're using click house.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode