MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104

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MLOps Coffee Sessions #104 with the creator of Apache Airflow and Apache Superset, Maxime Beauchemin, Future of BI co-hosted by Vishnu Rachakonda.

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// Abstract
Maxime is one of the most influential thought leaders on the future of data engineering and how to drive business value from data with better data infrastructure and tooling. He’s worked in a number of the most cutting-edge data engineering environments. His articles have been read by thousands, and his creations (Superset and Airflow) power billions of market value. It’s no exaggeration to say that Maxime is one of the most essential contributors to the data and machine learning revolution underway.

// Bio
Maxime Beauchemin is the founder and CEO of Preset. Original creator of Apache Superset. Max has worked at the leading edge of data and analytics his entire career, helping shape the discipline in influential roles at data-dependent companies like Yahoo!, Lyft, Airbnb, Facebook, and Ubisoft.

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MLOps Swag/Merch
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// Related Links
Website: https://www.rungalileo.io/
Trade-Off: Why Some Things Catch On, and Others book by Kevin Maney:
https://www.amazon.com/Trade-Off-Some-Things-Catch-Others/dp/0385525958

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Max on LinkedIn: https://www.linkedin.com/in/maximebeauchemin/

Timestamps:
[00:00] Introduction to Maxime Beauchemin
[01:28] Takeaways
[03:42] Paradigm of data warehouse
[06:38] Entity-centric data modeling
[11:33] Metadata for metadata
[14:24] Problem of data organization for a rapidly scaling organization
[18:36] Machine Learning tooling as a subset or of its own
[22:28] Airflow: The unsung hero of the data scientists
[27:15] Analyzing Airflow
[30:44] Disrupting the field
[34:45] Solutions to the ladder problem of empowering exploratory work and mortals' superpowers with data
[38:04] What to watch out for when building for data scientists
[41:47] Rapid-fire questions
[51:12] Wrap up