2min chapter

MLOps.community  cover image

Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

MLOps.community

CHAPTER

Do You Think You Can Ingest All This Data?

I think it's a startup because you don't have infinite resources You have to find like quite clever solutions to really big problems and like standardize hardcore. This is kind of what we really worked on and so we call this like candidates for example. So candidates are materialized Postgres views right and they're these Insane views. Essentially pull in from loads of different tables etc all the information that we need and put them in exactly the format that I recommend or needs. It gets ingested daily gets put in there automatic the materialized view refreshes every so and so many hours And the recommend I can handle it was amazing actually for us.

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