Configuring a data platform and data science environment can be a tedious, error-prone process: development, continuous integration, QA, staging, production. . .and often from scratch. 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. Heather and Gary discuss their “push button” infrastructure tool and demonstrate how you can use it in your own projects. Heather and Gary will be open sourcing this project.
Heather Nelson is a senior solution architect at Silicon Valley Data Science, where she draws from her diverse background in business and technology consulting to find the best solutions for her clients’ toughest data problems. A problem solver by nature, Heather is passionate about helping organizations leverage data to drive competitive advantage.
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.
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