Broadcast Date: February 28, 2020

Level: 300

Dive deep into the latest new features for Amazon EMR, including Apache Spark performance improvements, the ability to update S3 storage to enable streaming, changes, and compliance, and on-premises deployments with AWS Outposts. Also hear about how our migration program can help you move from on-premises Apache Spark and Hadoop to EMR.

Learning Objectives

  • See how we've made Amazon EMR 5.28 up to 32X faster than EMR 5.14
  • Discover how Apache Hudi helps you update data in your data lake
  • Understand when on-premises deployments work best and/or how to migrate to the cloud

Who Should Attend?

Data Engineers, Data Scientists, Analysts, Big Data Architects, Hadoop Administrators

Speakers

  • Radhika Ravirala, Senior Big Data Specialist Solutions Architect, 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.

Download the Slide Deck

Compute

Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

Register Now>

Containers

What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT

EMBARGOED

Register Now>

Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>

Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>