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Building a Movie Recommendation System on Tecton with Snowflake

Posted Jun 14, 2022 | Views 566
# Tecton
# Snowflake
# Movie Recommendation System
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SPEAKER
David Hershey
David Hershey
David Hershey
Vice President @ Unusual Ventures

David Hershey is an investor at Unusual Ventures, where he invests in machine learning and data infrastructure. David started his career at Ford Motor Company, where he started their ML infrastructure team. Recently, he worked at Tecton and Determined AI, helping MLOps teams adopt feature stores and scale deep learning workloads.

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David Hershey is an investor at Unusual Ventures, where he invests in machine learning and data infrastructure. David started his career at Ford Motor Company, where he started their ML infrastructure team. Recently, he worked at Tecton and Determined AI, helping MLOps teams adopt feature stores and scale deep learning workloads.

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SUMMARY

Tecton integrates with Snowflake and enables data teams to process ML features and serve them in production quickly and reliably, without building custom data pipelines.

David shows how to build an end-to-end movie recommendation system using a feature platform in three stages:

  • Batch, daily computed, recommendations
  • Online recommendations using batch features
  • Online recommendations using real-time features
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