{"id":178485,"date":"2024-03-14T06:53:00","date_gmt":"2024-03-14T05:53:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=178485"},"modified":"2024-02-13T19:14:59","modified_gmt":"2024-02-13T18:14:59","slug":"modernising-data-processing-with-new-tools","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/modernising-data-processing-with-new-tools","title":{"rendered":"Modernising data processing with new tools"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"178485\" class=\"elementor elementor-178485\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b1eb128 e-flex e-con-boxed e-con\" data-id=\"b1eb128\" 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-359145b elementor-widget elementor-widget-heading\" data-id=\"359145b\" 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\">As data processing becomes increasingly complex, traditional solutions must evolve too. New tools such as Mage are reshaping the data engineering landscape.<\/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-011ab8d e-flex e-con-boxed e-con\" data-id=\"011ab8d\" 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-7d1cbfa elementor-widget elementor-widget-heading\" data-id=\"7d1cbfa\" 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 Mage tool<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3981b01 elementor-widget elementor-widget-text-editor\" data-id=\"3981b01\" 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>Mage is a data orchestration tool powered by<a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\"> machine learning artificial intelligence.<\/a> It can be used to create open source pipelines and aims to streamline and <a href=\"https:\/\/datascientest.com\/en\/become-a-data-engineer-the-must-have-skills\">optimise data engineering processes.<\/a> Mage can run its pipelines to move and transform data. This means that data can be stored anywhere and used to train models, as in Sagemaker, a training platform for <a href=\"https:\/\/datascientest.com\/en\/unveiling-the-future-a-comprehensive-guide-to-the-open-ai-api\">AI.<\/a><\/p><p>Other alternatives to this tool already exist, including <a href=\"https:\/\/datascientest.com\/en\/apache-airflow-a-comprehensive-guide-to-workflow-orchestration\">Airbnb&#8217;s Apache Airflow.<\/a><\/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-525ce62 elementor-widget elementor-widget-video\" data-id=\"525ce62\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=hrsErfPDits&amp;ab_channel=Mage&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.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-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\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-08354ae e-flex e-con-boxed e-con\" data-id=\"08354ae\" 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-bee45fe elementor-widget elementor-widget-heading\" data-id=\"bee45fe\" 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\">Reshaping the engineering landscape?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57a6f26 elementor-widget elementor-widget-text-editor\" data-id=\"57a6f26\" 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>Mage <a href=\"https:\/\/datascientest.com\/en\/all-about-data-pipeline\">provides a pipeline<\/a> for complete data engineering, including data ingestion, transformation, preview and deployment. This end-to-end platform ensures rapid data processing, efficient delivery and seamless connectivity.<\/p><p>Mage data engineers will have the <strong>ability to apply various operations during the transformation phase,<\/strong> ensuring that data is cleansed, enriched and prepared for further processing.<\/p><p>The preview stage enables the quality of the processed data to be validated and assessed, guaranteeing its accuracy and reliability.<\/p><p>Throughout the pipeline creation process, Mage gives top priority to efficiency and scalability. To improve performance, it uses optimisation techniques such as parallel processing, data sharing and caching.<\/p><p>At launch, Mage enables processed data to be transferred effortlessly to downstream or production systems. It has tools for automation, version management, error resolution and performance optimisation, enabling data to be transferred reliably and quickly.<\/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-87262ed elementor-widget elementor-widget-image\" data-id=\"87262ed\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/06\/11668278_20945161.jpg\" 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 class=\"elementor-element elementor-element-fc0c8a5 elementor-widget elementor-widget-text-editor\" data-id=\"fc0c8a5\" 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>In the same way that data science is developing, the tools used to exploit and create it will also push back the pre-established limits. We can already see this with artificial intelligence and the massive use of data in businesses. Data science is becoming an essential part of every business, and this sector is currently experiencing a phenomenal increase in recruitment and profile searches. That&#8217;s why, if you&#8217;ve enjoyed this article and are considering a career in data science, don&#8217;t hesitate to check out our articles and training offers on DataScientest.<\/p><p>Source : <a href=\"http:\/\/mage.ai\">mage.ai<\/a><\/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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>As data processing becomes increasingly complex, traditional solutions must evolve too. New tools such as Mage are reshaping the data engineering landscape. The Mage tool Mage is a data orchestration tool powered by machine learning artificial intelligence. It can be used to create open source pipelines and aims to streamline and optimise data engineering processes. [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":178495,"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>Modernising data processing with new tools<\/title>\n<meta name=\"description\" content=\"As data processing becomes increasingly complex, traditional solutions must evolve too. 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