Preparing Data at Scale with Amazon SageMaker Notebooks- AWS Machine Learning in 15

Tune in for a quick overview on how to build end-to-end data preparation and machine learning workflows with SageMaker Studio notebooks. You will learn how to connect to Apache Spark data processing environments from SageMaker Studio for big data processing and interactive analytics.
Learning Objectives:
Objective 1: Learn how to use notebooks to easily prepare data directly in SageMaker Studio
Objective 2: See how to easily connect to Apache Spark data processing environments running on Amazon EMR and AWS Glue Interactive Sessions
Objective 3: See how to interactively query, explore, and visualize data, and run and debug Spark jobs in SageMaker Studio
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