Broadcast Date: January 22, 2019
Level: 200
Adoption of Jupyter Notebooks gives big data customers an easy way to leverage open source Apache Spark in Amazon EMR for data science, interactive analytics, and prototype jobs before bringing them to production. In this tech talk, we show you how to use Amazon EMR Notebooks, an easier platform for data engineers, data scientists, and developers, increasing their productivity as they collaborate on different workloads and different clusters.
Learning Objectives
- Learn about the new EMR Notebooks feature
- See how to create EMR Notebooks
- Understand common jobs that you can do with EMR Notebooks
Who Should Attend?
Data Engineers, Data Scientists, IT Staff, Hadoop and Spark Administrators
Speakers
- Vignesh Rajamani, Senior Product Manager, AWS
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/emr
Intro body copy here about 2018 re:Invent launches.
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