How to Build Extensible Data Pipelines Using External Functions

Modern analytical workloads often require complex and advanced data transformations and augmentations using custom or third-party code, services, and machine learning (ML) models. However, it is often challenging to bring in external services and libraries without complicating data pipelines.

Join us to learn how you can use Snowflake’s external functions to expand the use cases you can deliver for your business while keeping pipelines integrated. In this live webinar session, you’ll see a real-world demo on web traffic analysis, and you’ll learn:

• The benefits of Snowflake’s extensibility features
• How to leverage external services to expand use cases
• How to use Snowflake’s external functions to bring in third-party code, services, and ML scoring
• How to opt-in for Snowflake’s performant and reliable processing