Speaker

Tim Hunter, Software Engineer at Databricks

Tim Hunter

Software Engineer, Databricks

Tim Hunter is a software engineer at Databricks and contributes to the Apache Spark MLlib project. He has been building distributed Machine Learning systems with Spark since version 0.2, before Spark was an Apache Software Foundation project.

Sessions

Expanding Apache Spark Use Cases in 2.2 and Beyond

2017 continues to be an exciting year for big data and Apache Spark. I will talk about two major initiatives that Databricks has been building: Structured Streaming, the new high-level API for stream processing, and… Read more

From Pipelines to Refineries: Building Complex Data Applications with Apache Spark

Big data tools are challenging to combine into a larger application: ironically, big data applications themselves do not tend to scale very well. These issues of integration and data management are only magnified by increasingly… Read more