Description
CI/CD with Databricks (Declarative Automation Bundles) course. This comprehensive course helps learners automate and version their infrastructure, notebook, and analytics management processes using Databricks asset bundles, the formal framework for Workspace as Code. Learners learn how to configure their development, test, and deployment environments on the Databricks platform, integrate unit tests, and set up CI/CD pipelines using tools like GitHub Actions or Azure Pipelines to ensure reliable, error-free deployments at all stages.
What you will learn
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Package notebooks, tasks, and settings as versioned code with Databricks asset packages
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Create automated CI/CD pipelines for secure deployment from development to production.
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Build and distribute custom Python packages for use in the Databricks environment
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Implementing unit tests and validating Databricks codes
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Set up GitHub Actions workflows for automated builds, tests, and deployments
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Applying DevOps best practices in a Databricks environment
This course is suitable for people who:
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Data engineers working in Databricks environments
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DevOps engineers supporting data teams
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Technical teams interested in implementing best practices for deployment in Databricks
CI/CD with Databricks (Declarative Automation Bundles) Course Specifications
- Publisher: Udemy
- Instructor: Malvik Vaghadia
- Training level: Beginner to advanced
- Training duration: 6 hours and 40 minutes
- Number of lessons: 75
Course headings
Prerequisites for the CI/CD with Databricks (Declarative Automation Bundles) course
- Experience with Databricks fundamentals (notebooks, clusters, jobs)
- Basic Python knowledge
- Understanding YAML Syntax
- Awareness of Git and GitHub
- Awareness of CI/CD
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
3.3 GB