{"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":"
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The common trap: Starting from the bottom\n\n
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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>

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

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The quickest unlock: Federate into legacy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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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>

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

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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
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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>

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

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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
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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. 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

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\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
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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":"

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 […]<\/p>\n","protected":false},"author":2,"featured_media":6154,"comment_status":"open","ping_status":"closed","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","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}]}}