{"id":4911,"date":"2025-06-27T07:03:35","date_gmt":"2025-06-27T07:03:35","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/06\/27\/mythical-pivot-point-from-buy-to-build-for-data-platforms\/"},"modified":"2025-06-27T07:03:35","modified_gmt":"2025-06-27T07:03:35","slug":"mythical-pivot-point-from-buy-to-build-for-data-platforms","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/06\/27\/mythical-pivot-point-from-buy-to-build-for-data-platforms\/","title":{"rendered":"The Mythical Pivot Point from Buy to Build for Data Platforms"},"content":{"rendered":"<p>    The Mythical Pivot Point from Buy to Build for Data Platforms<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>For companies with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying off-the-shelf solutions<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/mythical-pivot-point-from-buy-to-build-for-data-platforms\/\">The Mythical Pivot Point from Buy to Build for Data Platforms<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Ming Gao<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/mythical-pivot-point-from-buy-to-build-for-data-platforms\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Mythical Pivot Point from Buy to Build for Data Platforms For companies with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying off-the-shelf solutions The post The Mythical Pivot Point from Buy to Build for Data Platforms appeared first on Towards Data Science. Ming Gao [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,3074,575,401,83,2441],"tags":[84,2961,888],"class_list":["post-4911","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-data-platform","category-data-architecture","category-data-engineering","category-data-science","category-product-management","tag-data","tag-platforms","tag-point"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4911"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=4911"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4911\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=4911"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=4911"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=4911"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}