AWS EMR
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. 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. With EMR you can run petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. You can run workloads on Amazon EC2 instances, on Amazon Elastic Kubernetes Service (EKS) clusters, or on-premises using EMR on AWS Outposts.
This AWS EMR tutorial will cover end to end life cycle of development of Spark Jobs and submit them using AWS EMR Cluster. The topics that we will cover in this session are as follows: What is AWS EMR? AWS…
This AWS EMR tutorial will cover end to end life cycle of development of Spark Jobs and submit them using AWS EMR Cluster. The topics that we will cover in this session are as follows: What is AWS EMR? AWS…
This tutorial will show you how to run spark application on Amazon EMR cluster. EMR stands for Elastic map reduce. Amazon EMR cluster provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of…
