On June 2, Snowflake announced Extensible Data Pipelines, which enable you to transform and augment your data using external services from within the Snowflake Cloud Data Platform. Pipeline extensibility with Snowflake means that you can achieve more use cases and enable more users to collaborate on data engineering with a single platform. For example, you can achieve complex transformations, such as data augmentation with geocode addresses, perform complex credit scoring, or call out to machine-learned models. 

By attending this webinar you will:

  • Learn how to expand transformation capabilities with External Functions
  • See a demo of an automated recommender system leveraging an external machine learning model to your data pipeline
  • Ahmad Khan

    Senior Sales Engineer, Snowflake