Let’s face it -- data is messy. And your company’s business requirements? Even messier. You’re staring at your screen, knowing there is a tool that will let you give your business partners the information they need as quickly as they need it. There’s even a Python version of it now. But…it looks kind of scary. You’ve never used it before, and you don’t know where to start. Yes, we’re talking about the dreaded flatMapGroupsWithState. But fear not - we’ve got you covered.

In this session, we’ll take a real-word use case and use it to show you how to break down flatMapGroupsWithState into its basic building blocks. We’ll explain each piece in both Scala and the newly-released Python, and at the end we’ll illustrate how it all comes together to enable the implementation of arbitrary stateful operations with Spark Structured Streaming.

Talk by: Angela Chu

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc