A Guide to Data + AI Summit Sessions: Machine Learning, Data Engineering, Apache Spark and More

We are only a few weeks away from Data + AI Summit, returning May 24–28. If you haven’t signed up yet, take advantage of free registration for five days of virtual engagement: training, talks, meetups, AMAs and community camaraderie.

To help you navigate through hundreds of sessions, I am sharing some of the content — including deep dives — that I’m excited about.

Below are a few additional picks for developer-focused Apache Spark talks. Use the code JulesDAIS2021 for 25% off pre-conference training!

Deep Dive Into the New Features of Apache Spark™ 3.1

Monitor Apache Spark™ 3 on Kubernetes Using Metrics and Plugins

Efficient Distributed Hyperparameter Tuning With Apache Spark™

The Rise of ZStandard: Apache Spark™/Parquet/ORC/Avro

Project Zen: Making Data Science Easier in PySpark

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