{"id":8553,"date":"2023-07-07T11:59:33","date_gmt":"2023-07-07T11:59:33","guid":{"rendered":"https:\/\/wealthrevelation.com\/data-science\/2023\/07\/07\/monitoring-of-jobskills-with-data-engineering-ai\/"},"modified":"2023-07-07T11:59:33","modified_gmt":"2023-07-07T11:59:33","slug":"monitoring-of-jobskills-with-data-engineering-ai","status":"publish","type":"post","link":"https:\/\/wealthrevelation.com\/data-science\/2023\/07\/07\/monitoring-of-jobskills-with-data-engineering-ai\/","title":{"rendered":"Monitoring of Jobskills with Data Engineering &amp; AI"},"content":{"rendered":"<div>\n<p>On own account, we from <a href=\"https:\/\/www.datanomiq.io\">DATANOMIQ<\/a>\u00a0have created a web application that monitors data about job postings related to Data &amp; AI from multiple sources (Indeed.com, Google Jobs, Stepstone.de and more).<\/p>\n<p>The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using <strong>Natural Language Processing<\/strong> (NLP) or more specific from <strong>Named-Entity Recognition<\/strong> (NER).<\/p>\n<p>The skill clusters are formed via the discipline of <strong>Topic Modelling<\/strong>, a method from <strong>unsupervised machine learning<\/strong>, which show the differences in the distribution of requirements between them.<\/p>\n<div id=\"attachment_6488\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/jobskills.datanomiq.io\" target=\"_blank\" rel=\"noopener\"><img aria-describedby=\"caption-attachment-6488\" loading=\"lazy\" class=\"wp-image-6488 size-full\" src=\"https:\/\/data-science-blog.com\/en\/wp-content\/uploads\/sites\/4\/2023\/06\/jobskills-web-app-by-datanomiq.png\" alt=\"DATANOMIQ Webapp for Monitoring of Skills demanded in the German Job Market.\" width=\"1741\" height=\"1247\"><\/a><\/p>\n<p id=\"caption-attachment-6488\" class=\"wp-caption-text\"><a href=\"https:\/\/jobskills.datanomiq.io\">DATANOMIQ Jobskills Webapp<\/a><\/p>\n<\/div>\n<p>The whole web app is hosted and deployed on the <strong>Microsoft Azure Cloud<\/strong> via CI\/CD and Infrastructure as Code (IaC).<\/p>\n<p>The presentation is currently limited to the current situation on the labor market. However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes.<\/p>\n<p><em>Why we did it? It is a nice show-case many people are interested in. Over the time, it will provides you the answer on your questions related to which tool to learn! For <a href=\"https:\/\/www.datanomiq.de\">DATANOMIQ<\/a> this is a show-case of the coming <strong>Data as a Service<\/strong> (<strong>DaaS<\/strong>) Business.<\/em><\/p>\n<h3 class=\"awpa-title\">About Author<\/h3>\n<div class=\"wp-post-author-wrap wp-post-author-shortcode left\">\n<div class=\"wp-post-author\">\n<div class=\"awpa-img awpa-author-block square\">\n                <a href=\"https:\/\/data-science-blog.com\/en\/blog\/author\/aunkofer\/\"><img loading=\"lazy\" data-del=\"avatar\" src=\"https:\/\/data-science-blog.com\/en\/wp-content\/uploads\/sites\/4\/2015\/05\/foto2-1-1-180x180.jpg\" class=\"avatar pp-user-avatar avatar-150 photo \" height=\"150\" width=\"150\"><\/a>\n            <\/div>\n<div class=\"wp-post-author-meta awpa-author-block\">\n<h4 class=\"awpa-display-name\">\n                    <a href=\"https:\/\/data-science-blog.com\/en\/blog\/author\/aunkofer\/\">Benjamin Aunkofer<\/a><br \/>\n                <\/h4>\n<div class=\"wp-post-author-meta-bio\">\n<p>Benjamin Aunkofer ist Gr\u00fcnder von <a href=\"http:\/\/www.datanomiq.de\">DATANOMIQ<\/a> und Hochschul-Dozent f\u00fcr Data Science und Data Strategy. Dar\u00fcber hinaus arbeitet er als Interim Head of Business Intelligence und gibt Seminare\/Workshops zu den Themen BI, Data Science und Machine Learning f\u00fcr Unternehmen.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/data-science-blog.com\/en\/blog\/2023\/06\/30\/job-skill-monitoring-with-data-engineering-ai\/<\/p>\n","protected":false},"author":0,"featured_media":8554,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/posts\/8553"}],"collection":[{"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/comments?post=8553"}],"version-history":[{"count":0,"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/posts\/8553\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/media\/8554"}],"wp:attachment":[{"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/media?parent=8553"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/categories?post=8553"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wealthrevelation.com\/data-science\/wp-json\/wp\/v2\/tags?post=8553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}