Holden Karau presents: ML Pipelines with Apache Spark & Apache Beam

Topic: ML Pipelines with Apache Spark & Apache Beam -- So you want to train a linear regression model (or deep learning) on big data?

The tools we use, from model training to model serving, are both under increasing pressure to handle larger datasets and users. This talk will look at how to use systems like Spark & BEAM to train your models, but also that important next step of actually serving the results in “production”.

Speaker: Holden Karau, Open Source Developer Advocate at Google

Holden is a transgender Canadian (from Ottawa, living in SF) open source developer advocate at Google with a focus on Apache Spark, BEAM, and related "big data" tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date. She is a committer and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal.

Follow Holden on Twitter: https://twitter.com/holdenkarau