AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
4min chapter
The Hard Problems™️ of Data Observability w/ Kevin Hu of Metaplane
The Analytics Engineering Podcast
The Four Pillars of Data Observability
The four pillars of data observability are medidata, metrix, lineage and logs. They help us understand why these are the four things that make the system complete. You can't copy them one to one without at least thinking about a litte of it critically. It's like the corp building blocks - what is this thing, and how does it fit together in the broader system?
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
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