Tech it easy with.. Amazon EMR

English
July 1, 2021
from 4:00 PM to 5:00 PM  
Europe/London

WEBINAR OVERVIEW

Cloud Technologies have never been so strong. It’s no longer just infrastructure-as-a-service, it’s a whole ecosystem able to provide out-of-the-box services. Enterprises can now accelerate their cloud and digital adoption at a pace that has never been seen before.

CIOs, CDOs, and technical functions recognise the central role of the cloud and also the need to support the business by providing full access to data and analytics tools. The urgency and the challenge is to qualify new technologies, understand where they can help, create the expertise, integrate them into the current ecosystem, and drive the business forward.

In this context AWS is investing to provide a seamless experience through their services and, together with Data Reply, to be able to serve companies with best of breed capabilities to execute the transformation.

This webinar has been designed to help CIOs, CDOs, Heads of Data, Data Science and Analytics in different industries to understand how they can plug AWS technologies into their existing ecosystem, or design a completely new Data & Analytics-cloud-first adoption.

WHY ATTEND?

This is the fourth of a series of 6 webinars covering the use of AWS technologies and the success behind them, to be held over the coming months.

Webinar #4 focuses on one pillar of AWS technologies for managing big data at scale: Amazon EMR, providing attendees with:

  • An overview of main features
  • A success case in a real environment scenario
  • Best practices from industry experts
  • A walkthrough show-me-how session
  • Opportunity to ask questions

 

Amazon EMR is the managed Hadoop service on AWS cloud used for processing vast amounts of data using various open source tools such as Apache Spark, hive, presto, Apache Flink, Apache HUDI and makes it easy to set-up, scale and operate big data environments. During the session, you will learn how it can be used by analysts, data engineers, and data scientists to collaborate and interactively explore, process, and visualize data.

Agenda

16.00-16.05 BST: An introduction to Data Reply 

16.05-16.20 BST: Industry success story 

16.20-16.50 BST: Show me how - Our practical demo!

16.50-17.00 BST: Q&A

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