Coursera

DevOps and CI/CD for Data Engineering Performance

Coursera

DevOps and CI/CD for Data Engineering Performance

This course is part of Open source Data Engineering with Spark, dbt & Airflow Professional Certificate

Professionals from the Industry

Instructor: Professionals from the Industry

Access provided by PSGR Krishnammal College for Women

Beginner level

Recommended experience

Flexible schedule
Learn at your own pace
Beginner level

Recommended experience

Flexible schedule
Learn at your own pace

What you'll learn

  • Resolve merge conflicts and trace bugs using Git history tools, keeping collaborative codebases stable and production-ready.

  • Design branching strategies and automate deployments with CI/CD pipelines to safely promote data pipeline artifacts across environments.

  • Build and publish versioned Docker images and automate server configuration with Ansible for consistent, reproducible environments.

  • Analyze query execution metrics and optimize resource allocation to maintain performance targets in production data systems.

Details to know

Shareable certificate

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Taught in English
Recently updated!

March 2026

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Build your Data Management expertise

This course is part of the Open source Data Engineering with Spark, dbt & Airflow Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Coursera

Why people choose Coursera for their career

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Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

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"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

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"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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