{"id":177360,"date":"2024-01-21T18:09:43","date_gmt":"2024-01-21T17:09:43","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=177360"},"modified":"2024-01-21T18:11:24","modified_gmt":"2024-01-21T17:11:24","slug":"amazon-emr-a-cluster-management-tool-managed-by-aws","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/amazon-emr-a-cluster-management-tool-managed-by-aws","title":{"rendered":"Amazon EMR: A cluster management tool managed by AWS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"177360\" class=\"elementor elementor-177360\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-70887b3 e-flex e-con-boxed e-con\" data-id=\"70887b3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-065af85 elementor-widget elementor-widget-heading\" data-id=\"065af85\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Amazon EMR (Elastic MapReduce) is a data processing service managed by Amazon Web Service (AWS). It enables the management of large amounts of data, in the petabyte range, using popular tools such as Apache Hadoop, Hive, Spark and HBase, to name but a few.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb85e57 elementor-widget elementor-widget-text-editor\" data-id=\"eb85e57\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Amazon EMR<\/strong> has been designed to offer great flexibility and scalability, enabling users to achieve very fast results <strong>using powerful, highly configurable calculation clusters.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-232ee36 e-flex e-con-boxed e-con\" data-id=\"232ee36\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-43601c9 elementor-widget elementor-widget-heading\" data-id=\"43601c9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Understanding how Amazon EMR works<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a3db96d elementor-widget elementor-widget-text-editor\" data-id=\"a3db96d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Amazon EMR<\/strong> works by creating data processing clusters that are configured to meet the specific needs of each task. These clusters are created according to the computing and storage resources required.<\/p><p>A cluster is made up of nodes of different types:<\/p><ul><li><strong>Master Node:<\/strong> manages the cluster and its resources. As the primary node, it orchestrates<a href=\"https:\/\/datascientest.com\/en\/apache-oozie-simplify-the-management-of-your-big-data-workflows\"> data processing tasks.<\/a><\/li><li>It also <strong>stores cluster metadata<\/strong> and provides a command line interface (CLI) and a Web interface for interacting with the cluster.<\/li><li><strong>Core nodes:<\/strong> managed by the primary node, they coordinate data storage in a file system such as HDFS. In addition, they execute parallel processing tasks.<\/li><li><strong>Task nodes:<\/strong> these are optional and are used to increase the capacity of data-parallel processing tasks, such as MapReduce or Spark jobs. However, they do not <a href=\"https:\/\/datascientest.com\/en\/decoding-hdfs-unveiling-the-core-of-hadoop-distributed-file-system\">store data on the HDFS.<\/a><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f4d7f02 elementor-widget elementor-widget-image\" data-id=\"f4d7f02\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66b8226 elementor-widget elementor-widget-text-editor\" data-id=\"66b8226\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To <strong>provide processing and storage capacity,<\/strong> <a href=\"https:\/\/datascientest.com\/en\/aws-ec2-how-to-use-amazons-tool\">EMR uses EC2 (Elastic Compute Cloud) instances<\/a>. These instances are virtual machines that can be highly configured and adapted as required.<\/p><p>When the <strong>EMR cluster is created,<\/strong> the necessary tools are automatically installed on each node of the cluster (tools such as Hadoop, Spark or Hive come to mind). Scheduling and execution of processing tasks are handled by managers such as <a href=\"https:\/\/datascientest.com\/en\/exploring-yarn-a-robust-alternative-to-npm-for-package-management\"><strong>YARN (the best-known) or Mesos.<\/strong><\/a><\/p><p>As AWS services integrate particularly well with each other, data sources such as Amazon S3, <a href=\"https:\/\/datascientest.com\/en\/amazon-relational-database-service-rds-what-is-it\">RDS<\/a> or DynamoDB can be used to enable processing by EMR. In the same spirit of integration, Amazon Cloudwatch is used to monitor cluster performance and availability.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9770d34 e-flex e-con-boxed e-con\" data-id=\"9770d34\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9e18e7a elementor-widget elementor-widget-heading\" data-id=\"9e18e7a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Is Amazon EMR complicated to implement?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa55df elementor-widget elementor-widget-text-editor\" data-id=\"8aa55df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Installing and implementing Amazon EMR is a relatively straightforward process that can be completed in just a few steps. The prerequisite is, of course, an AWS account.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bbb84b5 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"bbb84b5\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/aws-training\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn how to use Amazon EMR<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c6323a8 e-flex e-con-boxed e-con\" data-id=\"c6323a8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ee2f5a elementor-widget elementor-widget-text-editor\" data-id=\"1ee2f5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Une fois connect\u00e9 \u00e0 votre compte, il vous suffit de s\u00e9lectionner le service EMR.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c26304d elementor-widget elementor-widget-image\" data-id=\"c26304d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image4.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0cb52fa elementor-widget elementor-widget-text-editor\" data-id=\"0cb52fa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Choose the highlighted &#8220;Create a cluster&#8221; button<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-444ba71 elementor-widget elementor-widget-image\" data-id=\"444ba71\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image5.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e729f55 elementor-widget elementor-widget-text-editor\" data-id=\"e729f55\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Then follow the steps to create a cluster according to your needs. Here&#8217;s a summary of EC2 instance types:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d8f7f7 elementor-widget elementor-widget-html\" data-id=\"1d8f7f7\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-62vj{background-color:#9b9b9b;color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;\n  font-weight:bold;text-align:center;vertical-align:top}\n.tg .tg-o36d{font-family:Tahoma, Geneva, sans-serif !important;text-align:center;vertical-align:top}\n<\/style>\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 600px\">\n<colgroup>\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<col style=\"width: 200px\">\n<\/colgroup>\n<thead>\n  <tr>\n    <th class=\"tg-62vj\">Instance Class<\/th>\n    <th class=\"tg-62vj\">Instance Family<\/th>\n    <th class=\"tg-62vj\">Recommended Use<\/th>\n  <\/tr>\n<\/thead>\n<tbody>\n  <tr>\n    <td class=\"tg-o36d\">General Purpose<\/td>\n    <td class=\"tg-o36d\">M4, M5<\/td>\n    <td class=\"tg-o36d\">Batch Processing<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-o36d\">Compute Optimized<\/td>\n    <td class=\"tg-o36d\">C5,C4<\/td>\n    <td class=\"tg-o36d\">Machine Learning<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-o36d\">Memory Optimized<\/td>\n    <td class=\"tg-o36d\">X1,X4<\/td>\n    <td class=\"tg-o36d\">Interactive Analysis<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-o36d\">Storage Optimized<\/td>\n    <td class=\"tg-o36d\">D2, I3<\/td>\n    <td class=\"tg-o36d\">Large-Scale HDFS<\/td>\n  <\/tr>\n<\/tbody>\n<\/table>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e656e03 elementor-widget elementor-widget-image\" data-id=\"e656e03\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image7.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6328313 elementor-widget elementor-widget-text-editor\" data-id=\"6328313\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Once the cluster has been created, all that&#8217;s left to do is run and deploy data processing applications. Beware, however, of pricing.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3ecf1b3 e-flex e-con-boxed e-con\" data-id=\"3ecf1b3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8872b60 elementor-widget elementor-widget-heading\" data-id=\"8872b60\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Price list<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2eee313 elementor-widget elementor-widget-text-editor\" data-id=\"2eee313\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The costs associated with using <strong>Amazon EMR<\/strong> may vary from region to region. In addition, AWS EMR charges both for its own instance and for EC2 instances. Billing is per second, with a minimum charge of one minute. Find out more about Amazon&#8217;s pricing policy for this service.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-da31e51 e-flex e-con-boxed e-con\" data-id=\"da31e51\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c279061 elementor-widget elementor-widget-heading\" data-id=\"c279061\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Case studies<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94312e0 elementor-widget elementor-widget-text-editor\" data-id=\"94312e0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Let&#8217;s take a look at two case studies where AWS EMR provides the answer to data processing problems.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5a7fdce e-flex e-con-boxed e-con\" data-id=\"5a7fdce\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9ac9e39 e-con-full e-flex e-con\" data-id=\"9ac9e39\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-10aff2a elementor-widget elementor-widget-image\" data-id=\"10aff2a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image6.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-57e28db e-con-full e-flex e-con\" data-id=\"57e28db\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b21687 elementor-widget elementor-widget-text-editor\" data-id=\"7b21687\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>An online platform for restaurant reviews (among others), they turned to EMR for large-scale, real-time comment processing and analysis. Thanks to its use, Yelp can now obtain detailed analyses of trends. As the company&#8217;s needs fluctuate greatly, Yelp can now adapt its processing capacity to meet them.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7090882 e-flex e-con-boxed e-con\" data-id=\"7090882\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-21d5fff e-con-full e-flex e-con\" data-id=\"21d5fff\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aa248d6 elementor-widget elementor-widget-image\" data-id=\"aa248d6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/05\/image2.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-42d3639 e-con-full e-flex e-con\" data-id=\"42d3639\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2232539 elementor-widget elementor-widget-text-editor\" data-id=\"2232539\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As a real estate company (based in the USA), they have opted to use EMR to deploy real estate forecasting algorithms on a very large scale. This enables them to process real estate data quickly and efficiently, providing their customers with more accurate price trends, as well as monitoring variations in this highly volatile market in real time.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b9792ec e-flex e-con-boxed e-con\" data-id=\"b9792ec\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bf20517 elementor-widget elementor-widget-heading\" data-id=\"bf20517\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4fec54 elementor-widget elementor-widget-text-editor\" data-id=\"c4fec54\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As you will have gathered from this article, Amazon EMR is a powerful and flexible cloud solution for large-scale data processing. Thanks to its ease of use and ability to integrate with other AWS services, it&#8217;s a first choice solution for companies needing high-performance data analysis to make the right decisions and adapt to changing market needs.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;AWS Elastic Load Balancer: The solution that distributes network traffic&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/aws-elastic-load-balancer-the-solution-that-distributes-network-traffic\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/aws-elastic-load-balancer-the-solution-that-distributes-network-traffic\" target=\"_blank\" rel=\"noopener\">AWS Elastic Load Balancer: The solution that distributes network traffic<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Jam AWS: The playful Amazon learning platform&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/jam-aws-the-playful-learning-platform-from-amazon\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/jam-aws-the-playful-learning-platform-from-amazon\" target=\"_blank\" rel=\"noopener\">Jam AWS: The playful Amazon learning platform<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;AWS Lambda: Introduction to the Serverless Function&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/aws-lambda-introduction-to-the-serverless-function\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/aws-lambda-introduction-to-the-serverless-function\" target=\"_blank\" rel=\"noopener\">AWS Lambda: Introduction to the Serverless Function<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;AWS Certification: What is it and how do I get it? 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These clusters are created according to the computing and storage resources required.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Is it complicated to implement?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Installing and implementing Amazon EMR is a relatively straightforward process that can be completed in just a few steps. The prerequisite is, of course, an AWS account.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Tariffs\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The costs associated with using Amazon EMR can vary by region. In addition, AWS EMR charges both for its instance and for EC2 instances. Billing is per second, with a minimum charge of one minute. See the following link: Pricing\".\n    }\n  }]\n}\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Amazon EMR (Elastic MapReduce) is a data processing service managed by Amazon Web Service (AWS). It enables the management of large amounts of data, in the petabyte range, using popular tools such as Apache Hadoop, Hive, Spark and HBase, to name but a few. Amazon EMR has been designed to offer great flexibility and scalability, [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":177365,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2412],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Amazon EMR: A cluster management tool managed by AWS<\/title>\n<meta name=\"description\" content=\"Amazon EMR (Elastic MapReduce) is a cloud-based big data platform offered by Amazon Web Services (AWS). It facilitates the processing of large datasets using popular frameworks like Apache Spark, Apache Hadoop, Apache Hive, Apache HBase, and more.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/amazon-emr-a-cluster-management-tool-managed-by-aws\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Amazon EMR: A cluster management tool managed by AWS\" \/>\n<meta property=\"og:description\" content=\"Amazon EMR (Elastic MapReduce) is a data processing service managed by Amazon Web Service (AWS). 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