Musical Intro

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 will show 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

 Building a Movie Recommendation System on Tecton with Snowflake

Member of Technical Staff

Networking

Day 1

<p>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. </p><p>David will show how to build an end-to-end movie recommendation system using a feature platform in three stages:</p><ul><li>Batch, daily computed, recommendations</li><li>Online recommendations using batch features</li><li>Online recommendations using real-time features</li></ul>

Building a Movie Recommendation System on Tecton with Snowflake

Stage 1

Free Ticket

Track 1

The MLOps Community is where machine learning practitioners come together to define and implement MLOps.
Our global community is the default hub for MLOps practitioners to meet other MLOps industry professionals, share their real-world experience and challenges, learn skills and best practices, and collaborate on projects and employment opportunities. We are the world's largest community dedicated to addressing the unique technical and operational challenges of production machine learning systems.

MLOps Community

Job Title

Login to the MLOps Community community to connect with others, attend community events, and more!

Login or Sign Up for even more

To unlock all parts of the community and get the best experience, complete your profile.

Building a Movie Recommendation System on Tecton with Snowflake

Speakers

Agenda