Making Open Work
May 8–9, 2017: Training & Tutorials
May 10–11, 2017: Conference
Austin, TX
Gary Dusbabek

Gary Dusbabek
Principal Engineer, Silicon Valley Data Science

An Apache Cassandra committer and PMC member, Gary Dusbabek specializes in building distributed systems. His recent experience includes creating an open source high-volume metrics processing pipeline and building out several geographically distributed API services in the cloud.

Sessions

11:50am12:30pm Thursday, May 11, 2017
Data, Big and Small
Location: Ballroom F
Level: Intermediate
Heather Nelson (Silicon Valley Data Science), Gary Dusbabek (Silicon Valley Data Science)
Average rating: ****.
(4.00, 5 ratings)
Configuring a data platform and data science environment can be a tedious, error-prone process. Heather Nelson and Gary Dusbabek explain how to create a cloud-agnostic environment combining cloud platforms such as AWS or Azure with Terraform and Ansible that spins up quickly and is easy to configure as required. Read more.