{"id":6149,"date":"2025-11-26T10:29:31","date_gmt":"2025-11-26T09:29:31","guid":{"rendered":"https:\/\/revodata.outlawz.dev\/?p=6149"},"modified":"2025-11-26T11:10:09","modified_gmt":"2025-11-26T10:10:09","slug":"quick-wins-in-your-databricks-journey-show-value-early","status":"publish","type":"post","link":"https:\/\/revodata.nl\/nl\/quick-wins-in-your-databricks-journey-show-value-early\/","title":{"rendered":"Quick wins in your Databricks journey: Show value early"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"6149\" class=\"elementor elementor-6149\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-52459a6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"52459a6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-50b64aa\" data-id=\"50b64aa\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79f508d elementor-widget elementor-widget-heading\" data-id=\"79f508d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><div>The common trap: Starting from the bottom\n\n<br><\/div><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-462a8a8 elementor-widget elementor-widget-text-editor\" data-id=\"462a8a8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"ember2007\" class=\"ember-view reader-text-block__paragraph\">Many companies approach their Databricks migration by starting at the bottom of the stack: rolling out the platform, re-integrating data sources (often via ODBC\/JDBC), and building a bronze layer before modelling and consuming the data. While this method seems logical, it often leaves teams \u201cbelow the surface\u201d for too long, struggling to demonstrate value as they work through foundational layers.<\/p><p id=\"ember2008\" class=\"ember-view reader-text-block__paragraph\">To avoid this, it\u2019s crucial to rethink how you start. Databricks, for instance, can pull data via JDBC, but its true strength lies in AutoLoader and working with files stored in cost-effective blob storage. Adding change data capture (CDC) capabilities with tools like Debezium can enhance this, but it may also introduce dependencies on platform or infrastructure teams who may not share your timeline or goals.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f932491 elementor-widget elementor-widget-heading\" data-id=\"f932491\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The quickest unlock: Federate into legacy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b1d6a0 elementor-widget elementor-widget-text-editor\" data-id=\"7b1d6a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"ember2010\" class=\"ember-view reader-text-block__paragraph\">If your data already resides in a cloud platform like Azure or AWS, the quickest path to success is leveraging native services such as Azure Data Factory (ADF) or AWS Data Workflow Services (DWS). These can convert CDC streams into Parquet files, which are easily stored on blob storage. By using these existing tools, you simplify the process, reduce dependencies, and get data into Databricks faster.<\/p><p id=\"ember2011\" class=\"ember-view reader-text-block__paragraph\">When this isn\u2019t an option, or if you really want to go fast, Unity Catalog\u2019s Federation capabilities can provide a workaround. By making your SQL Server databases available in Databricks, you can federate queries directly to the source, enabling you to join live data with datasets already in Databricks. Whether it\u2019s staging databases, data warehouses, or data marts, this approach allows you to build on your existing infrastructure while transitioning to a modern platform.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5bf0ca0 elementor-widget elementor-widget-heading\" data-id=\"5bf0ca0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Show business value from day one\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e66f2cc elementor-widget elementor-widget-text-editor\" data-id=\"e66f2cc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"ember2013\" class=\"ember-view reader-text-block__paragraph\">Instead of focusing solely on ingestion pipelines and modelling workflows, prioritise moving consumption use cases to Databricks early. By demonstrating business value\u2014almost from day one\u2014you can gain buy-in from stakeholders and justify further investments in the migration process.<\/p><p id=\"ember2014\" class=\"ember-view reader-text-block__paragraph\">Once the immediate needs are met, gradually shift your data sources from staging into a new ingestion pattern that leverages blob storage and AutoLoader. This step-by-step approach ensures a smoother transition while delivering results that matter to your business.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bf0ad6 elementor-widget elementor-widget-heading\" data-id=\"9bf0ad6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ready to take the next step?\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-82bb2c8 elementor-widget elementor-widget-text-editor\" data-id=\"82bb2c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"ember2016\" class=\"ember-view reader-text-block__paragraph\">At RevoData, we specialize in helping organizations unlock the full potential of Databricks. Whether you\u2019re migrating from SQL Server, optimizing your workflows, or building a modern data platform, our consultants are here to guide you every step of the way. Let us show you how Databricks can transform your data strategy and drive real business impact. <strong>Contact RevoData today to get started!<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f05ce56 elementor-widget elementor-widget-spacer\" data-id=\"f05ce56\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c97bc2 elementor-widget elementor-widget-image\" data-id=\"2c97bc2\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"464\" height=\"656\" src=\"https:\/\/revodata.nl\/wp-content\/uploads\/Picture1.jpg\" class=\"attachment-large size-large wp-image-4701\" alt=\"\" srcset=\"https:\/\/revodata.nl\/wp-content\/uploads\/Picture1.jpg 464w, https:\/\/revodata.nl\/wp-content\/uploads\/Picture1-212x300.jpg 212w, https:\/\/revodata.nl\/wp-content\/uploads\/Picture1-8x12.jpg 8w\" sizes=\"(max-width: 464px) 100vw, 464px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-20b8a1c elementor-widget elementor-widget-spacer\" data-id=\"20b8a1c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96a198e elementor-author-box--layout-image-left elementor-author-box--align-left elementor-widget elementor-widget-author-box\" data-id=\"96a198e\" data-element_type=\"widget\" data-widget_type=\"author-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-author-box\">\n\t\t\t\t\t\t\t<div  class=\"elementor-author-box__avatar\">\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/revodata.nl\/wp-content\/uploads\/DSC02063-300x225.jpg\" alt=\"Foto van Rafal Frydrych\" loading=\"lazy\">\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"elementor-author-box__text\">\n\t\t\t\t\t\t\t\t\t<div >\n\t\t\t\t\t\t<h4 class=\"elementor-author-box__name\">\n\t\t\t\t\t\t\tRafal Frydrych\t\t\t\t\t\t<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-author-box__bio\">\n\t\t\t\t\t\t<p>Senior Consultant at RevoData, sharing with you his knowledge in the opinionated series: Migrating from MSBI to Databricks. <\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The common trap: Starting from the bottom Many companies approach their Databricks migration by starting at the bottom of the stack: rolling out the platform, re-integrating data sources (often via ODBC\/JDBC), and building a bronze layer before modelling and consuming the data. While this method seems logical, it often leaves teams \u201cbelow the surface\u201d for [&hellip;]<\/p>","protected":false},"author":2,"featured_media":6154,"comment_status":"open","ping_status":"closed","sticky":false,"template":"elementor_theme","format":"standard","meta":{"footnotes":""},"categories":[14,21],"tags":[],"class_list":["post-6149","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-it","category-databricks"],"_links":{"self":[{"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/posts\/6149","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/comments?post=6149"}],"version-history":[{"count":8,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/posts\/6149\/revisions"}],"predecessor-version":[{"id":6173,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/posts\/6149\/revisions\/6173"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/media\/6154"}],"wp:attachment":[{"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/media?parent=6149"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/categories?post=6149"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revodata.nl\/nl\/wp-json\/wp\/v2\/tags?post=6149"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}