Make your ML training and deployment processes efficient and automated by joining Snowflake and Zepl to learn how to build ML feature pipelines using Snowflake’s new procedural dataframe library called Snowpark.
In this presentation, we will show you how to implement your pipelines in Snowpark, connect a Zepl notebook to Snowflake, train a model and then import the trained model into Snowflake to do bulk inference at scale natively within Snowflake.
Register to reserve your spot today. We look forward to seeing you there!
Key Takeaways
- Understand how traditional Spark pipelines can be migrated with minimal code changes to Snowflake
- Understand Zepl’s notebook and ML capabilities using a live demo to train and model Financial/Stock data set in Snowflake’s Data Marketplace
- Understand inference at scale (model scoring) using Snowflake
In Partnership With:
