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Building a CI Pipeline with Databricks dbx Tool and GitLab

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Manage episode 396129610 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-ci-pipeline-with-databricks-dbx-tool-and-gitlab.
Explore streamlined CI/CD in Databricks with Asset Bundles. Simplify deployment, eliminate complexities, and enhance workflow efficiency
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #databricks, #mlops, #ci-cd-pipelines, #gitlab-ci, #devops, #dbx, #databricks-assets, #devops-guide, and more.
This story was written by: @neshom. Learn more about this writer by checking @neshom's about page, and for more stories, please visit hackernoon.com.
discover how to implement a robust CI/CD pipeline using Databricks DBX and GitLab. Tailored for data engineering and science, this guide unravels CI/CD fundamentals, Databricks integration, and the pivotal role of Databricks CLI Extension (DBX). The hands-on example showcases the seamless deployment of a Databricks workflow, automating data manipulation, analysis, and testing. As we bridge CI/CD principles with Databricks workflows, you'll gain practical insights into enhancing data project efficiency and reliability. This blog serves as a comprehensive resource for those seeking to optimize their data processing workflows through the integration of cutting-edge CI/CD practices with Databricks capabilities.

  continue reading

126 episodes

Artwork
iconShare
 
Manage episode 396129610 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-ci-pipeline-with-databricks-dbx-tool-and-gitlab.
Explore streamlined CI/CD in Databricks with Asset Bundles. Simplify deployment, eliminate complexities, and enhance workflow efficiency
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #databricks, #mlops, #ci-cd-pipelines, #gitlab-ci, #devops, #dbx, #databricks-assets, #devops-guide, and more.
This story was written by: @neshom. Learn more about this writer by checking @neshom's about page, and for more stories, please visit hackernoon.com.
discover how to implement a robust CI/CD pipeline using Databricks DBX and GitLab. Tailored for data engineering and science, this guide unravels CI/CD fundamentals, Databricks integration, and the pivotal role of Databricks CLI Extension (DBX). The hands-on example showcases the seamless deployment of a Databricks workflow, automating data manipulation, analysis, and testing. As we bridge CI/CD principles with Databricks workflows, you'll gain practical insights into enhancing data project efficiency and reliability. This blog serves as a comprehensive resource for those seeking to optimize their data processing workflows through the integration of cutting-edge CI/CD practices with Databricks capabilities.

  continue reading

126 episodes

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