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[] Data Pipeline Challenges Addressed
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Classroom Contents
The Future of Feature Stores and Platforms - MLOps Podcast 186
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- 1 [] Introduction to Mike
- 2 [] Takeaways
- 3 [] Features of the new paradigm of ML and LLMs
- 4 [] D. Sculley's papers
- 5 [] The birth of Feature Store
- 6 [] Data Pipeline Challenges Addressed
- 7 [] Operationalizing
- 8 [] Feature Store Challenges
- 9 [] Z access
- 10 [] Addressing Technical Debt Challenges
- 11 [] Real-Time vs. Batch Processing
- 12 [] Feature Store Evolution: Apache Iceberg
- 13 [] Feature Platform: Dedicated Query Engine
- 14 [] The bottleneck
- 15 [] LLMs, Feature Stores Overview
- 16 [] Vector databases
- 17 [] Workflow Templating Efficiency
- 18 [] Gamification suggestion for Tecton
- 19 [] Wrap up
