How Do You Implement CI/CD for GCP Data Pipelines?
How Do You Implement CI/CD for GCP Data Pipelines? Introduction GCP Data Engineer roles today are not just about moving data from one place to another. They are about trust. Business teams trust data engineers to deliver correct data, on time, without surprises. But when pipelines are deployed manually, mistakes happen. A wrong configuration, a missed dependency, or a small SQL change can quietly break reports and dashboards. This is why learning structured deployment practices through a GCP Data Engineer Course becomes important for anyone working with production-grade data systems. CI/CD, which stands for Continuous Integration and Continuous Deployment, helps data teams work with confidence. It replaces manual steps with automation and checks. Instead of hoping that a pipeline works after deployment, engineers know it works because it was tested, validated, and released in a controlled way. On Google Cloud, CI/CD has become a practical necessity, not a luxury...