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Running Spark Workloads on Amazon EMR | RemoteClazz by Zenika Singapore

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Demonstration of how Spark jobs are executed on Amazon Elastic MapReduce (EMR)

Amazon Elastic MapReduce (EMR) is used for processing big data workloads on AWS Cloud using open-source tools such as Apache Spark, Hive, Pig, HBase etc.

Amazon EMR makes it easy to set up, operate, and scale your big data environments by automating time-consuming tasks like provisioning capacity and tuning clusters.

In this LIVE session, we will be demonstrating on how Spark jobs are executed on Amazon EMR cluster with a Live Demo.


Topics covered in this session:

  • Introduction to Amazon EMR
  • Architecture of EMR
  • Benefits of EMR
  • Spark workloads on EMR - Live Demo
  • Q&A


About the speaker(s)

Vijay Nathari

Vijay is a Certified AWS Solutions Architect – Professional with experience in building enterprise-scale applications on both on-premises and cloud. He also has, Big Data analytics experience with good understanding of open-source tools like Spark, Hive, Pig and Sqoop.

Additionally, Vijay is experienced in designing the business reports using BI tools like Oracle BI Publisher and Quadient Inspire.


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