Enable Interactive Data Analytics at Petabyte Scale with EMR Studio

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Published Feb 20, 2025

EMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark using fully managed Jupyter notebooks. EMR Studio kernels and applications run on EMR clusters, so you get the benefit of distributed data processing using the performance optimized Amazon EMR runtime for Apache Spark. Learn how you can enable data teams to run interactive data analytics workloads on Apache Spark on Amazon EMR using EMR Studio.

Learning Objectives:
* Objective 1: See how to use EMR Studio for distributed data processing with the performance-optimized Apache Spark runtime that Amazon EMR provides.
* Objective 2: Learn how to easily develop, visualize, and debug your applications with EMR Studio.
* Objective 3: Explore how EMR Studio can help you run interactive analytics at petabyte scale.

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