Broadcast Date: April 21, 2023
Level: 300
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
- Learn how to use notebooks to easily prepare data directly in SageMaker Studio
- See how to easily connect to Apache Spark data processing environments running on Amazon EMR and AWS Glue Interactive Sessions
- See how to interactively query, explore, and visualize data, and run and debug Spark jobs in SageMaker Studio
Who Should Attend?
Data Scientists, Data Engineers, ML Developers, ML Expert Practitioners
Speaker(s)
Sumedha Swamy, Principal Product Manager, Amazon Web Services (AWS)
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/sagemaker/notebooks/
Intro body copy here about 2018 re:Invent launches.
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