3min chapter

MLOps.community  cover image

Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

MLOps.community

CHAPTER

Having a Deeper Understanding of Uber Inter Structure

Ober has a concept of like, local topics and aggregate topics. It would have beena lot easier if we could have put lickin exactly one thing on the aggregated topics, because then we have all the data. We couldn't do thos. We had to do it oll the local ones, which means that we had to do a whole bunch of extra extra work. A things are never as advertised, especially when you're orking at a big company. The upserve feature depends on every message of the saint with the same primary key going into the same kafka partitioner.

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