Data Brew
Season 2, Episode 9

Data Driven Software

We branch, version, and test our code, but what if we treated data like code? Tim Hunter joins us to discuss the open-source Data-Driven Software (DDS) package and how it leads to immense gains in collaboration and decreased runtime for data scientists at any organization.

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Tim Hunter

Tim Hunter is a senior AI specialist at the ABN AMRO Bank. He was an early software engineer at Databricks and has contributed to the Apache Spark MLlib project, and co-created the Koalas, GraphFrames, TensorFrames and Deep Learning Pipelines libraries. He has been building distributed Machine Learning systems with Spark since version 0.2, before Spark was an Apache Software Foundation project. He holds a Ph.D in Computer Sciences from UC Berkeley.

Denny LeePlayPlay hover00:06

Welcome to Data Brew by Databricks with Denny and Brooke. This series allows us to explore various topics in the data and AI community. Whether we’re talking about data engineering or data science, we will interview subject matter experts to dive deeper into these topics. And while we’re at it, we’ll be enjoying our morning brew. My name is Denny Lee, and I’m a developer advocate at Databricks and one of the co-hosts of Data Brew.

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