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Udemy – CI/CD with Databricks (Declarative Automation Bundles) 2025-5
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Description
CI/CD with Databricks (Declarative Automation Bundles) program. This complete 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 find out how to configure their development, test, and deployment environments on the Databricks platform, integrate unit tests, and set up CI/CD pipelines using applications like GitHub Actions or Azure Pipelines to ensure reliable, error-no-cost deployments at all stages.
What you will study
Package notebooks, tasks, and settings as versioned code with Databricks asset packages
Build automated CI/CD pipelines for secure deployment from development to production.
Build and distribute custom Python packages for use in the Databricks environment
Implementing unit tests and validating Databricks codes
Set up GitHub Actions workflows for automated builds, tests, and deployments
Applying DevOps greatest practices in a Databricks environment
This training is suitable for people who:
Data engineers working in Databricks environments
DevOps engineers supporting data teams
Technical teams interested in implementing greatest practices for deployment in Databricks
CI/CD with Databricks (Declarative Automation Bundles) Tutorial Specifications
- Publisher: Udemy
- Instructor: Malvik Vaghadia
- Training level: Entry-level to professional
- Training duration: 6 hours and 40 minutes
- Number of lessons: 75
Prerequisites for the CI/CD with Databricks (Declarative Automation Bundles) tutorial
- Experience with Databricks fundamentals (notebooks, clusters, jobs)
- Basic Python insight
- Understanding YAML Syntax
- Awareness of Git and GitHub
- Awareness of CI/CD
Configuration Manual
Understanding Udemy CI/CD With Databricks (Declarative Automation Bundles) 2025
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Subtitles: None
Quality: 720p
Obtain link
Rapidgator link
Resource size
3.3 GB
Complete Guide to Udemy CI/CD With Databricks (Declarative Automation Bundles) 2025
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