Running Spark Workloads on Amazon EMR | RemoteClazz by Zenika Singapore

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.