Dataframes Are All You Need: MLOps on Easy Mode

MLOps community meetup #125! On May 24, we will be talking to
Jay Chia, Cofounder of Eventual, about Dataframes Are All You Need: MLOps on Easy Mode.

// Register at:
https://home.mlops.community/home/events

// Abstract:
It's often said that the hardest part of MLOps is building and maintaining your datasets. This talk covers the key abstraction of the Dataframe and why Dataframes are such powerful abstractions for this critical part of your MLOps workflow.

We use Daft (www.getdaft.io) as a running example of a Dataframe to showcase how flexible this interface really is for heavy complex data processing, analytics, I/O and feeding your machine learning training pipelines.

// Bio:
Jay is based in San Francisco and graduated from Cornell University where he did research in deep learning and computational biology. He has worked in ML Infrastructure across biotech (Freenome) and autonomous driving (Lyft L5), building large-scale data and computing platforms for diverse industries. Jay is now a maintainer of Daft: the distributed Python Dataframe for complex data.

// Final thoughts
Please feel free to drop some questions you may have beforehand into our slack channel (https://go.mlops.community/slack)
Watch some old meetups on our youtube channel:
https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ.