Meetup #123

Tecton 0.6: Notebook-driven Development

In Tecton 0.6, data teams can now develop and test features quickly with the flexibility of a Python notebook using the new notebook-driven development capability.

Take-aways

Tecton recently rolled out version 0.6, which includes new capabilities to simplify and accelerate feature engineering at scale.

In this episode

Jason Dunne

Jason Dunne

Senior Product Marketing Manager, Tecton

Jason Dunne is a Senior Product Marketing Manager at Tecton enabling data engineers, ML engineers, and data scientists to improve their feature engineering workflows through Tecton's feature platform. He comes from a background in data analytics, data collaboration, and marketing technology, and has a passion for developer experience.

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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.