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Broadcast Date: July 21, 2022

During this workshop, see how to visually browse, discover, and connect to Apache Spark data processing environments running on Amazon EMR from your Amazon SageMaker Studio Notebook with a few clicks. Once connected, you can interactively query, explore, and visualize data, and run and debug Spark jobs. You will learn how to build end-to-end data preparation and ML workflows on SageMaker Studio.

In this episode, you'll:

  • Understand how to use Amazon SageMaker Studio with Amazon EMR
  • See how to easily add big data to ML workflows
  • Learn how to prepare data using Amazon SageMaker Studio

Who should attend?

Data Scientists, Machine Learning Developers, Developers, and Data Engineers


    • Sumedha Swamy, Principal Product Manager, AWS
    • Sean Morgan, Senior Machine Learning Solutions Architect, AWS

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