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, as well as the 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.

Sessions

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

Deep Dive into Deep Learning Pipelines

Deep learning has shown tremendous successes, yet it often requires a lot of effort to leverage its power. Existing deep learning frameworks require writing a lot of code to run a model, let alone in… Read more

Deep Dive into Deep Learning Pipelines - continues

Deep learning has shown tremendous successes, yet it often requires a lot of effort to leverage its power. Existing deep learning frameworks require writing a lot of code to run a model, let alone in… Read more

GraphFrames: Scaling Web-Scale Graph Analytics with Apache Spark

Graph analytics has a wide range of applications, from information propagation and network flow optimization to fraud and anomaly detection. The rise of social networks and the Internet of Things has given us complex web-scale… Read more