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Building a CI Pipeline with Databricks dbx Tool and GitLab
Manage episode 396129610 series 3474670
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.
150 tập
Manage episode 396129610 series 3474670
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.
150 tập
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