AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
🏃♀️Moving Fast and Breaking Data with Shreya Shankar
The MLOps Podcast
The Use of Partition Summaries in Data Engineering
Traditional anomaly detection techniques, they kind of compare like a current partition to some aggregate of historical partitions. But we find that if we just save data, so we call it partition summaries in the paper, then we just create a summary for each partition. So instead of our feeding the whole thing and comparing today to full aggregate, we maintain those individual summaries. It's super cheap, simple, scalable, works very well. And I think there's a lot of value from this.
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