{"id":1665,"date":"2019-05-27T17:43:49","date_gmt":"2019-05-27T15:43:49","guid":{"rendered":"https:\/\/ecole.ensai.fr\/?page_id=1665"},"modified":"2025-03-13T09:01:01","modified_gmt":"2025-03-13T08:01:01","slug":"lingenierie-des-donnees","status":"publish","type":"page","link":"https:\/\/ensai.fr\/en\/lingenierie-des-donnees\/","title":{"rendered":"Data Engineering"},"content":{"rendered":"<h2>Data Engineering<\/h2>\n<p><strong>The production of new and unstructured Big Data (voice, text, image), the advent of open data, and the ever-evolving capability to stock and treat data have open up new fields for data engineering. Big Data experts with mastery of both Computer Science and Statistics have become highly sought after.\u00a0<\/strong><\/p>\n<p>A Data Scientist who has studied the &#8220;Advanced Tools for Data Science and Machine Learning&#8221; program at ENSAI has <strong>in-depth knowledge of Computer Science<\/strong> as well as expert knowledge in Statistics. As an expert in Big Data, s\/he has more than adequate knowledge in <strong>Systems Architecture<\/strong>, <strong>Networks<\/strong>, and <strong>IT Security<\/strong> to handle large volumes of data, create data storage solutions, and conduct <strong>multidimensional analyses on data<\/strong>. S\/he also masters web semantic technologies.<\/p>\n<p><strong>Multi-Sector\u00a0<\/strong><b>Relevance<\/b><\/p>\n<p>The three major sectors for applying Big Data are <strong>industry<\/strong> (16.4 billion euros invested in 2020 in the EU), <strong>finance<\/strong> (15.4 billion euros), and <strong>retail<\/strong>\u00a0(8.2 billion euros)*. Beyond these fields, Big Data impacts numerous data-driven projects in the energy, transportation, health, and media sectors. <strong>These non-specialized experts can therefore put their skills to use for the whole economy.\u00a0<\/strong><\/p>\n<p><strong>Big Data and AI<\/strong><\/p>\n<p>The Data Science &amp; Data Engineering specialization opens up numerous opportunities to pursue a PhD with numerous research topics in Data Science involving <strong>Machine Learning<\/strong> and <strong>Deep Learning<\/strong> linked to Artificial Intelligence. AI algorithms have begun to reach a level of technological maturity which is expanding on the promises made by Big Data at the end of the 2000s. The impacts and applications of these advances are at the heart of the challenge facing Data Scientists today.<\/p>\n<h3>Keywords<\/h3>\n<p>Software Engineering \/Digital Analysis \/ Statistical Machine Learning \/ Deep Learning \/AI<\/p>\n<h3>Careers<\/h3>\n<p>Data Scientist \/ Social Network Analyst \/ Risk Manager \/\u00a0 Big Data Health Analyst \/ Supply Chain Optimizer<\/p>\n<h3>Businesses within the ENSAI ecosystem<\/h3>\n<p>Capgemini \/ EY \/ Lincoln \/ Naver Labs \/ Orange \/ Solocal Group \/ Safran \/ Thales \/ Ubisoft&#8230;<\/p>\n<p style=\"text-align: center;\"><span class=\"hentry_link_contour\"><a href=\"https:\/\/ensai.fr\/en\/apres-lensai\/les-metiers-de-la-data-2\/lingenierie-des-donnees\/programme-des-enseignements\/\">Course catalog<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Engineering The production of new and unstructured Big Data (voice, text,&#8230; <br \/><a class=\"readmore\" href=\"https:\/\/ensai.fr\/en\/lingenierie-des-donnees\/\">Lire la suite<\/a><\/p>\n","protected":false},"author":1,"featured_media":3493,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1665","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Engineering | ENSAI<\/title>\n<meta name=\"description\" content=\"Le profil \u00ab statisticien-informaticien \u00bb, expert en Big Data, de la fili\u00e8re Statistique et Ing\u00e9ni\u00e9rie des donn\u00e9es de l&#039;ENSAI est tr\u00e8s recherch\u00e9.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ensai.fr\/en\/apres-lensai\/les-metiers-de-la-data-2\/lingenierie-des-donnees\/\" 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