![]() Easy to Use: Amazon EMR has a user-friendly UI that enables users to set up the cluster in just a few clicks.Key Features of AWS EMRįollowing are the key features of Amazon EMR: Furthermore, it integrates well with Apache Spark and Apache Hive and provides you with faster analysis. ![]() EMR owes its name to its dynamic scaling capability, using which administrators can scale up or down resources as needed.Īmazon EMR has many applications such as Analysing Logs, Implementing Machine Learning (ML), Bioinformatics, etc. These servers use Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3) to facilitate their storage task. It utilizes MapReduce for processing huge data sets in computing environments that are set in distributed structures.Īmazon EMR consumes huge data sets using a Hadoop cluster consisting of virtual servers. ![]() Read along and decide, which tool is best suited for your work! Table of ContentsĪmazon EMR is a platform for running Big Data Tasks and operates on the Apache Hadoop framework. It will then take you through the 5 critical parameters that you should consider while comparing Amazon EMR vs Redshift. This article will introduce you to both Amazon EMR & Amazon Redshift and will discuss their key features. It is a Data Warehouse that operates on Cloud technology to provide vast space and high processing power for businesses to store and manage their data.
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