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Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209

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Feb 6, 2024
Guests Matt Bleifer and Mike Eastham from Tecton discuss the challenges and use cases of Large Language Models and feature platforms in MLOps. They also introduce Tecton's new product RIFT, highlight the importance of choosing the right tool for the job, and delve into the design decisions and challenges of data processing and aggregation in a managed service.
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ANECDOTE

Matt's Full Circle Career

  • Matt Bleifer shared how a blog post about Uber's Michelangelo inspired his work on feature stores at Twitter.
  • He later joined the Uber team behind Michelangelo, completing a full circle in his career journey.
INSIGHT

Feature Platforms: Beyond Stores

  • Feature platforms go beyond feature stores by solving issues in engineering, storage, serving, and collaboration.
  • The difficulty lies in merging data science experimentation with software engineering operational rigor.
ADVICE

Simplify Feature Engineering with RIFT

  • Simplify feature engineering by meeting users where they are, using Python and data warehouse tools.
  • Introduce RIFT, a Python-native compute engine for efficient feature transformations without heavy infrastructure.
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