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Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

FromMLOps.community


Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

FromMLOps.community

ratings:
Length:
42 minutes
Released:
Apr 11, 2022
Format:
Podcast episode

Description

MLOps Coffee Sessions #92 with Pete Soderling, Building the World's First Data Engineering Conference.

// Abstract
Keep things centered around community building and what he looks for in teams. Folks that are building their community around their tool, what advice do you have for that? What's worth turning into a company?

// Bio
Pete Soderling is the founder of Data Council and the Data Community Fund. As a former software engineer, repeat founder, and investor in more than 40 data-oriented startups, Pete’s lifetime goal is to help 1,000 engineers start successful companies. Most importantly, Pete is a community builder — from his earliest days of working with the data engineering community starting in 2013, he has witnessed the unique power of specialized networks to bring inspiration, knowledge, and support to technical professionals.

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

// Related Links
Website: datacouncil.ai
Youtube channel: https://www.youtube.com/c/DataCouncil

--------------- ✌️Connect With Us ✌️ -------------
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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 Pete on LinkedIn: https://www.linkedin.com/in/petesoder/

Timestamps:
[00:00] Introduction to Pete Soderling
[04:35] Top takeaways from the World's First Data Engineering Conference
[05:41] Buzz around the conference
[06:37] Intro to Data Council
[09:20] Pete's mission statement with investing
[11:19] Evaluating gaps in the market and who should solve those
[14:45] One company Peter regrets not investing in
[16:41] Repeating the same mistake
[20:07] Recommendations to engineers to become entrepreneurs
[23:30] Questions to consider before investing
[27:37] Things to do and avoid in open-source projects
[31:03] Something popular you disagree
[35:29] Code as an artifact
[39:16] Hypothetical fundraising  
[40:53] Wrap up
Released:
Apr 11, 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.