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

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Manage episode 332481976 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
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

  continue reading

441 episodes

Artwork
iconShare
 
Manage episode 332481976 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
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

  continue reading

441 episodes

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