Running Spark Workloads on Amazon EMR | RemoteClazz

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

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The Online Session link will be shared before the event with all registered participants.

Description 🎪

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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Organiser Zenika Singapore

Organiser of Running Spark Workloads on Amazon EMR | RemoteClazz

The name “Zenika” is an anagram of “kaizen”, a Japanese business philosophy based on continuous improvement of working practices.
We are a software development company whose mission is to drive change via IT innovation.
Established in France in 2006, Zenika entered the Asian market with Singapore as its first office in August 2016. Our SG team has since expanded steadily and is currently working on several engagements in South East Asia involving Java/Spring, Angular, microservices, CI/CD, Elasticsearch.
Our activities in Singapore cross various industries. We are working with several Singaporean and international banks and startups on their digital transformation to integrate technological solutions for both customers and staff.

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