The success of your machine learning models and applications depends on both the data you have available and how you present the data for model training. This is why data scientists can spend the majority of their time collecting data and transforming it into features. Learn from our instructors how Snowflake and Amazon SageMaker Data Wrangler can help you accelerate the data improvement steps for your data in Snowflake.

In this virtual hands-on lab, you’ll have the opportunity to:

  • Learn how to securely share data across Snowflake accounts
  • Bring third-party data from the Snowflake Data Marketplace to enrich datasets
  • See how to connect Snowflake to SageMaker Data Wrangler
  • Leverage pre-built feature engineering transformations in SageMaker Data Wrangler


  • Andries Engelbrecht

    Partner Solution Architect at Snowflake