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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automated-cicd-in-azure-databricks-using-github-actions/
课程评论：没有评论
**课程名称：** 使用 GitHub Actions 在 Azure Databricks 中实现自动化 CI/CD **课程概述：** 本实践课程将提供一个全面、分步指南，帮助您构建一个针对 Azure Databricks 的完全自动化的 CI/CD 流水线，并使用 GitHub Actions。您将首先了解数据工程场景下持续集成和持续部署的核心原则，重点关注实际应用、可扩展的开发实践和现代 DevOps 方法论。 课程将引导您学习如何配置 GitHub Actions，以安全地连接到您的 Databricks 工作区，利用访问令牌和环境变量来实现强大的自动化以及安全、可重复的部署。通过实际演示，您将学会如何自动验证 Notebook、执行编码标准，并将更改直接同步到您的 Databricks 存储库。 课程还将展示如何构建工作流来处理跨多个环境（如开发、暂存和生产）的部署，确保每个阶段的代码质量、一致性和可追溯性。您还将获得通过编程方式触发 Databricks 作业、通过 Databricks CLI 管理工作区资产以及设置可重用 GitHub Actions 以简化未来自动化工作的实践经验。 完成本课程后，您将掌握实施企业级 CI/CD 流水线的技能和信心，从而减少手动干预，提高部署准确性，提升生产力，并加速团队在 Azure Databricks 生态系统中的数据交付生命周期。 **课程大纲：** 无
This hands-on course offers a comprehensive, step-by-step guide to building a fully automated CI/CD pipeline tailored for Azure Databricks using GitHub Actions. You'll begin by understanding the core principles of continuous integration and continuous deployment in a data engineering context, with a strong focus on real-world applications, scalable development practices, and modern DevOps methodologies. As the course progresses, you'll learn how to configure GitHub Actions to securely connect with your Databricks workspace, leveraging access tokens and environment secrets to enable robust automation and secure, repeatable deployments.Through practical demonstrations, you'll discover how to validate notebooks automatically, enforce coding standards, and sync changes directly into your Databricks repositories. The course will show you how to structure your workflows to handle deployments across multiple environments-such as development, staging, and production-ensuring code quality, consistency, and traceability at every stage. You'll also gain hands-on experience in triggering Databricks jobs programmatically, managing workspace assets via the Databricks CLI, and setting up reusable GitHub Actions to streamline future automation efforts.By the end of the course, you'll have the skills and confidence to implement enterprise-ready CI/CD pipelines that reduce manual intervention, improve deployment accuracy, boost productivity, and accelerate your team's data delivery lifecycle within the Azure Databricks ecosystem.
