{"id":4743,"date":"2025-06-20T07:02:21","date_gmt":"2025-06-20T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/06\/20\/from-configuration-to-orchestration-building-etl-workflow-with-aws-is-no-longer-struggling\/"},"modified":"2025-06-20T07:02:21","modified_gmt":"2025-06-20T07:02:21","slug":"from-configuration-to-orchestration-building-etl-workflow-with-aws-is-no-longer-struggling","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/06\/20\/from-configuration-to-orchestration-building-etl-workflow-with-aws-is-no-longer-struggling\/","title":{"rendered":"From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle"},"content":{"rendered":"<p>    From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle<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>A step-by-step guide to leverage AWS services for efficient data pipeline automation<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/from-configuration-to-orchestration-building-etl-workflow-with-aws-is-no-longer-struggling\/\">From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle<\/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    Jiayan Yin<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/from-configuration-to-orchestration-building-etl-workflow-with-aws-is-no-longer-struggling\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle A step-by-step guide to leverage AWS services for efficient data pipeline automation The post From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle appeared first on Towards Data Science. Jiayan Yin Go to original [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,2418,2854,401,83,3014,157],"tags":[263,3015,3016],"class_list":["post-4743","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-aws","category-data-pipeline","category-data-engineering","category-data-science","category-etl","category-python","tag-aws","tag-configuration","tag-orchestration"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4743"}],"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=4743"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4743\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=4743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=4743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=4743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}