Meetup #107

So Fresh and So Data Clean

Move from your notebook environment to production pipelines by identifying data issues, cleaning them, and exporting a pipeline tracking your changes.

Take-aways

- Use visualizations and reports to understand your data quality issues - Use common cleaning functions to quickly fix issues - Write custom cleaning actions that can be re-used - Use your cleaning pipeline in any environment

In this episode

Tommy Dang

Tommy Dang

CEO, Mage

Tommy Dang is the Co-Founder & CEO at Mage. Additionally, Tommy has had 3 past jobs including Head of marketing and promotions platform at Airbnb.

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Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.

Ben Epstein

Ben Epstein

Host

Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.