{"id":42842,"date":"2021-03-12T18:37:25","date_gmt":"2021-03-12T15:37:25","guid":{"rendered":"http:\/\/datalabsua.com\/ua\/?p=42842"},"modified":"2024-05-24T17:02:02","modified_gmt":"2024-05-24T14:02:02","slug":"boom-time-for-dsml-platforms","status":"publish","type":"post","link":"https:\/\/datalabsua.com\/en\/boom-time-for-dsml-platforms\/","title":{"rendered":"Boom time for DSML platforms"},"content":{"rendered":"<p>The cornerstone of ML and AI integration into organizations is DSML-platforms. The main task of companies that develop such platforms was to expand their product by offering as many different variants for using platforms in business as possible.<\/p>\n<p>Over the last years it was possible to oversee a growth of this market share. It led to significant scalability of platforms development companies.<\/p>\n<p><em><strong>For example:<\/strong><\/em><\/p>\n<ul>\n<li><em>Dataiku<\/em> \u2013 DSS software product was created for data collecting, processing and analysis. The system allows to create business forecasts by transforming basic data on the basis of which it\u2019s possible to make effective decisions. Target users of this product are data analysts, business analysts and data engineers who develop applications for a company. In 2020 Dataiku engaged \u20ac85 million. As a result, company has grown by \u20ac212 million since 2012.<\/li>\n<li><em>Databricks<\/em> \u2013 this company was founded in 2013 by Apache Spark founder. A developed product (data analytics platform) is optimized for cloud platform Microsoft Azure, oriented toward analysts to process SQL-requests to data lake. Also, it designed to create and share a dashboard. In 2013 the company engaged $13 million, in 2019 this amount has grown by $400 million.<\/li>\n<\/ul>\n<h6>Previous post <a href=\"https:\/\/datalabsua.com\/en\/2021\/03\/05\/%d0%bd%d0%b0%d0%b2%d1%96%d1%89%d0%be-%d0%bf%d0%be%d1%82%d1%80%d1%96%d0%b1%d0%bd%d1%96-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d1%82%d0%b8%d0%ba%d0%b8-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85\/\">#maindatainfrastructuretrends<\/a><\/h6>\n","protected":false},"excerpt":{"rendered":"<p>The cornerstone of ML and AI integration into organizations is DSML-platforms. The main task of companies that develop such platforms was to expand their product by offering as many different variants for using platforms in business as possible.<\/p>\n","protected":false},"author":2,"featured_media":45001,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[79,80],"class_list":["post-42842","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-fridaypost","tag-maindatainfrastructuretrends"],"_links":{"self":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/42842","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/comments?post=42842"}],"version-history":[{"count":8,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/42842\/revisions"}],"predecessor-version":[{"id":42852,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/42842\/revisions\/42852"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media\/45001"}],"wp:attachment":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media?parent=42842"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/categories?post=42842"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/tags?post=42842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}