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[] Java of the Data World
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Classroom Contents
Airflow's Limitations for MLOps - Challenges and Alternatives
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- 1 [] Stephen's preferred coffee
- 2 [] Introduction to co-host Joe Reis
- 3 [] Takeaways
- 4 [] Subscribe to our newsletters!
- 5 [] Shout out to our sponsor, Wallaroo!
- 6 [] Whatnot
- 7 [] Stephen's side hustle
- 8 [] Stephen's work breakdown at Whatnot
- 9 [] Fundamental tensions in the data world
- 10 [] Initial questions to answer that you were on the right path
- 11 [] Recommender systems
- 12 [] Coordinating with ML teams
- 13 [] Daxter
- 14 [] Too advanced, more challenging
- 15 [] Orchestration layer
- 16 [] Decision criteria
- 17 [] Human design aspect of Daxter
- 18 [] Orchestration layer centralization and sharing knowledge with stakeholders
- 19 [] Airflow's Problem and the reception it got on Hacker News
- 20 [] Java of the Data World
- 21 [] Absence of DAGS
- 22 [] Interaction with the software engineering team
- 23 [] Different services
- 24 [] Modernization
- 25 [] Stephen's Philosophies
- 26 [] Wrap up
