Broadcast Date: August 28, 2019

Level: 300

Amazon EC2 Spot Instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this tech talk, you will learn about best practices on how to scale big data workloads, as well as how to process, store, and analyze big data securely and cost effectively with Amazon EMR and Amazon EC2 Spot Instances.

Learning Objectives

  • Learn how to run Amazon EMR clusters on Spot Instances and significantly reduce the cost of processing vast amounts of data on managed Hadoop clusters
  • Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization for big data workloads
  • Review actual customer examples to learn how to leverage the full-scale of the AWS cloud for faster results

Who Should Attend?

Data Scientist, Engineers, IT Architects who want to take advantage of the scale and cost effectiveness of cloud computing to run big data workloads


  • Ran Sheinberg, Specialist Solutions Architect, AWS

Learn More

To learn more about the services featured in this talk, please visit:

Intro body copy here about 2018 re:Invent launches.

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