Whether you are building a startup or adding to a data-intensive application, taking advantage of the Data Cloud and machine learning (ML)  technologies is key to innovating and gaining a competitive advantage. Snowflake and AWS (Amazon SageMaker) are bringing you a series of DevDay events to show how to build data-intensive applications with ML. 

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 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

Our Snowflake and AWS instructors will help you follow along and answer your questions live during this lab.


  • Andries Engelbrecht

    Principal Partner Sales Engineer, Snowflake

  • Dylan Tong

    Global Technical Leader, AI Augmented Analytics, AWS

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