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

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

FromMLOps.community


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

FromMLOps.community

ratings:
Length:
52 minutes
Released:
Jun 24, 2022
Format:
Podcast episode

Description

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

// Abstract

// 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.

// MLOps Jobs board  
https://mlops.pallet.xyz/jobs

MLOps Swag/Merch
https://mlops-community.myshopify.com/

// 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

--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
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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
Released:
Jun 24, 2022
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.