{"id":168759,"date":"2023-06-23T12:03:17","date_gmt":"2023-06-23T11:03:17","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=168759"},"modified":"2023-10-30T19:39:43","modified_gmt":"2023-10-30T18:39:43","slug":"etl-or-extract-transform-load-definition-and-use","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/etl-or-extract-transform-load-definition-and-use","title":{"rendered":"ETL or Extract Transform Load: Definition and use"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"168759\" class=\"elementor elementor-168759\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-702e92c e-flex e-con-boxed e-con\" data-id=\"702e92c\" 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-808f06b elementor-widget elementor-widget-heading\" data-id=\"808f06b\" 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\">With the advent of Big Data, companies are collecting more and more data. Over the past few years, the democratization of ETL software has enabled them to extract, transform and load this data into their data warehouses for better analysis. Let's take a look at how this software works and at the different players on the market.<\/h2>\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-e91c763 e-flex e-con-boxed e-con\" data-id=\"e91c763\" 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-a61ca4f elementor-widget elementor-widget-heading\" data-id=\"a61ca4f\" 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\">What is ETL ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fc59610 elementor-widget elementor-widget-text-editor\" data-id=\"fc59610\" 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><span style=\"font-weight: 400;\">ETL processes first appeared in the 1970s. At that time, companies began to collect data from a variety of sources. ETL software was born to meet the need to integrate this diverse data.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Behind this acronym lie three essential steps in data management and business intelligence: <\/span><b>Extract-Transform-Load<\/b><span style=\"font-weight: 400;\">, i.e. extracting data from the enterprise, transforming it, and loading it onto <\/span><b>data warehouses<\/b><span style=\"font-weight: 400;\">. At the end of the process, ETL software must have been able to produce clean, easily accessible data that can be effectively exploited by analytics, business intelligence, and the company&#8217;s <\/span><b>various business functions<\/b><span style=\"font-weight: 400;\">.<\/span><\/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-6628a60 e-flex e-con-boxed e-con\" data-id=\"6628a60\" 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-b53a6ba elementor-widget elementor-widget-heading\" data-id=\"b53a6ba\" 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\">First step: data extraction<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96361bf elementor-widget elementor-widget-text-editor\" data-id=\"96361bf\" 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><span style=\"font-weight: 400;\">The first step in the ETL process is to extract raw data that has been collected by the company and may come from a variety of data sources: existing <\/span><a href=\"https:\/\/datascientest.com\/en\/database-what-is-it\"><span style=\"font-weight: 400;\">databases<\/span><\/a><span style=\"font-weight: 400;\">, logs concerning the company&#8217;s activity, <\/span><b>unstructured databases<\/b><span style=\"font-weight: 400;\"> relating to the behavior, performance, and anomalies of applications or other various operations. <\/span><b>Data extraction<\/b><span style=\"font-weight: 400;\"> enables data to be consolidated, processed, and refined, then stored in a centralized location before transformation.\u00a0<\/span><\/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-f89a3ba e-flex e-con-boxed e-con\" data-id=\"f89a3ba\" 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-158a79b elementor-widget elementor-widget-heading\" data-id=\"158a79b\" 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\">Second step: data transformation\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b126cab elementor-widget elementor-widget-text-editor\" data-id=\"b126cab\" 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><span style=\"font-weight: 400;\">Once the data has been extracted, the second step is to <\/span><b>refine it<\/b><span style=\"font-weight: 400;\">. During this transformation phase, the data is sorted, structured, and cleaned: duplicate data is removed, missing values are eliminated, and all data is checked for consistency, usability, and reliability.<\/span><\/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-61b75b8 e-flex e-con-boxed e-con\" data-id=\"61b75b8\" 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-3a9bf67 elementor-widget elementor-widget-heading\" data-id=\"3a9bf67\" 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\">Third step: data loading<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66d2607 elementor-widget elementor-widget-text-editor\" data-id=\"66d2607\" 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><span style=\"font-weight: 400;\">Data loading, or &#8216;Load&#8217; as it is known in the Extract Transform Load process, simply means moving the sorted and cleansed data to a new storage space, the <\/span><a href=\"https:\/\/datascientest.com\/en\/data-warehouse-2\"><span style=\"font-weight: 400;\">data warehouse<\/span><\/a><span style=\"font-weight: 400;\">, where it can be <\/span><b>accessed<\/b><span style=\"font-weight: 400;\"> and <\/span><b>analyzed <\/b><span style=\"font-weight: 400;\">by all the company&#8217;s departments. In general, data warehouses support two modes of data loading:<\/span><b> full loading<\/b><span style=\"font-weight: 400;\"> and<\/span><b> incremental loading<\/b><span style=\"font-weight: 400;\">. The latter will only take into account data that is different from that already present in the storage space.<\/span><\/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-0d51415 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"0d51415\" 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\t\t\t<img decoding=\"async\" width=\"800\" height=\"469\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/06\/ETL2.jpg\" class=\"attachment-large size-large wp-image-168761\" alt=\"ETL2\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/06\/ETL2.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2023\/06\/ETL2-300x176.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/06\/ETL2-768x450.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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 class=\"elementor-element elementor-element-0600f1c elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"0600f1c\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Know more about our Data Science courses<\/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-8263132 e-flex e-con-boxed e-con\" data-id=\"8263132\" 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-400a988 elementor-widget elementor-widget-heading\" data-id=\"400a988\" 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\">The benefits of ETL software<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b000d2e elementor-widget elementor-widget-text-editor\" data-id=\"b000d2e\" 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><span style=\"font-weight: 400;\">All the steps in an ETL process can, of course, be carried out manually, but the margins for error are particularly wide. In the age of <\/span><a href=\"https:\/\/datascientest.com\/en\/big-data-definition-technologies-uses-and-training\"><span style=\"font-weight: 400;\">Big Data<\/span><\/a><span style=\"font-weight: 400;\">, companies are collecting ever more data, and for many, manual processing would require the mobilization of a <\/span><b>large number of employees<\/b><span style=\"font-weight: 400;\">. An automated process enables better control of data, greater agility thanks to the centralization of the <\/span><b>ETL process<\/b><span style=\"font-weight: 400;\"> within a single software package, better sharing with the company&#8217;s various departments, and greater accuracy.<\/span><\/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-0eae17e e-flex e-con-boxed e-con\" data-id=\"0eae17e\" 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-bcba49b elementor-widget elementor-widget-heading\" data-id=\"bcba49b\" 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\">Who are the main players in the ETL market?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a745e12 elementor-widget elementor-widget-text-editor\" data-id=\"a745e12\" 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><span style=\"font-weight: 400;\">There are several proprietary and open-source solutions in the ETL software market. Among the best-known are BIRT, Cloudera, Pentaho, and Talend.<\/span><\/p><p><a href=\"https:\/\/open-source-guide.com\/Solutions\/Applications\/Decisionnel-reporting\/Birt\"><span style=\"font-weight: 400;\">Birt<\/span><\/a><span style=\"font-weight: 400;\">, which stands for Business Intelligence Reporting Tools, lets you create<\/span><a href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\"><span style=\"font-weight: 400;\"> data visualizations and dashboards<\/span><\/a><span style=\"font-weight: 400;\">, which you can insert directly into your web platforms and customer reports. It&#8217;s an open-source solution, which means you can use its code to insert its modules into many other applications.\u00a0<\/span><\/p><p><a href=\"https:\/\/fr.cloudera.com\/\"><span style=\"font-weight: 400;\">Cloudera<\/span><\/a><span style=\"font-weight: 400;\">, a <\/span><b>second ETL solution<\/b><span style=\"font-weight: 400;\">, offers multi-functional analysis on a unified platform, eliminating silos and enabling more efficient data analysis.\u00a0 In its <\/span><b>data-sharing process<\/b><span style=\"font-weight: 400;\">, Cloudera focuses on security, data governance, and the production of consistent metadata. Flexible, it enables data to be deployed on a public cloud, a multi-cloud, and directly on-site.<\/span><\/p><p><span style=\"font-weight: 400;\">Previously known as Kettle, <\/span><a href=\"https:\/\/open-source-guide.com\/Solutions\/Developpement-et-couches-intermediaires\/Etl\/Pentaho-data-integration\"><span style=\"font-weight: 400;\">Pentaho is an Open Source<\/span><\/a><span style=\"font-weight: 400;\"> software package that enables the design and execution of highly complex <\/span><b>data manipulation<\/b><span style=\"font-weight: 400;\"> and <\/span><b>transformation operations<\/b><span style=\"font-weight: 400;\">. Pentaho is available in a free version, but the paid version offers far more functionality.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Last but not least, <\/span><a href=\"https:\/\/www.talend.com\/fr\/\"><span style=\"font-weight: 400;\">French company Talend<\/span><\/a><span style=\"font-weight: 400;\"> is another major player in the market. It is the publisher of an Open Source software suite that has been around since 2005. Its <\/span><b>ETL software<\/b><span style=\"font-weight: 400;\"> is known as Talend Open Studio for Data Integration (TOS). This software enables <\/span><b>data flow to be created<\/b><span style=\"font-weight: 400;\"> intuitively, using a graphical interface. This integration solution is particularly appreciated for its ease of use, flexibility, and scalability.<\/span><b> Talend&#8217;s software<\/b><span style=\"font-weight: 400;\"> suite offers a range of tools for collecting, qualifying, processing, centralizing, and rendering your data.<\/span><\/p><p><span style=\"font-weight: 400;\">There are many solutions for extracting, transforming, and loading your data. ETL software, whether free or paid for, is generally designed to <\/span><b>facilitate <\/b><span style=\"font-weight: 400;\">and <\/span><b>secure data management<\/b><span style=\"font-weight: 400;\"> and <\/span><b>analysis<\/b><span style=\"font-weight: 400;\">. Given the evolution of corporate data collection, it&#8217;s a safe bet that the ETL market will<\/span><b> continue to grow<\/b><span style=\"font-weight: 400;\"> and that their functionalities will continue to evolve. <\/span><\/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-78f1ab6 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"78f1ab6\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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\">Know more about our Data Science courses<\/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-bbb3a62 e-flex e-con-boxed e-con\" data-id=\"bbb3a62\" 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-c25dd53 elementor-widget elementor-widget-html\" data-id=\"c25dd53\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"The benefits of ETL software\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"All the steps in an ETL process can, of course, be carried out manually, but the margins for error are particularly wide. 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It's an open-source solution, which means you can use its code to insert its modules into many other applications.\"\r\n    }\r\n  }]\r\n}\r\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>With the advent of Big Data, companies are collecting more and more data. Over the past few years, the democratization of ETL software has enabled them to extract, transform and load this data into their data warehouses for better analysis. Let&#8217;s take a look at how this software works and at the different players on [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":168760,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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>ETL or Extract Transform Load: Definition and use | DataScientest<\/title>\n<meta name=\"description\" content=\"With the advent of Big Data, companies are collecting more and more data. 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