Data Science Deployed

Today we talk about Data Versioning. Why you should do it, what to do about humans in the loop, and how to minimize mistakes.

Tools mentioned:

DVC - https://dvc.org/

Quilt Data Versioning - https://quiltdata.com/

Apache Airflow - https://airflow.apache.org/

Apache Superset - https://superset.apache.org/

OpenProject - https://www.openproject.org/

Follow the podcast on Twitter: @dsdeployed

https://twitter.com/dsdeployed

Donny Winston

I help researchers do data-intensive science together.

Twitter: https://twitter.com/donnywinston @donnywinston

Email: donny@polyneme.xyz

Website: https://polyneme.xyz/

LinkedIn: https://www.linkedin.com/in/donnywinston/

Ben Cook

I help data science teams deploy their algorithms because a machine learning model is only as good as the system that delivers it.

Twitter: @jbencook https://twitter.com/jbencook

LinkedIn: https://www.linkedin.com/in/jbencook/

Email: ben@sparrow.dev

Website: https://sparrow.dev/

Jillian Rowe

I help biotech startups deploy scalable high performance compute infrastructure on AWS.

Email: jillian@dabbleofdevops.com

Website: https://www.dabbleofdevops.com

Twitter: www.twitter.com/jillianerowe

LinkedIn: https://www.linkedin.com/in/jillian-rowe-9410437a/