Automate Data Deployments with CI/CD Pipelines

Transform your data deployment process from manual to automated with enterprise-grade CI/CD pipelines. In today's fast-paced data environment, manual deployments are error-prone, time-consuming, and simply unsustainable at scale. This Short Course was created to help data management and engineering professionals accomplish seamless, reliable data pipeline deployments through automation. By completing this course, you'll be able to configure GitHub Actions workflows that automatically run unit tests, build Docker images, push to registries, and trigger production deployments - skills you can implement immediately in your next project. You'll master the essential automation techniques that separate junior practitioners from seasoned professionals who build production-grade data systems. By the end of this course, you will be able to: Apply CI/CD pipelines to promote data pipeline artifacts between environments safely and reliably This course is unique because it focuses specifically on data pipeline deployment automation, bridging the gap between traditional software CI/CD practices and the unique requirements of data engineering workflows. To be successful in this project, you should have a background in basic data pipeline concepts, familiarity with Git version control, and understanding of Docker fundamentals

• Build automated CI/CD pipelines ensuring reliable, error-free data deployments
• Adopt proper artifact versioning and packaging strategies for pipeline promotion
• Implement post-deployment validation and monitoring for production reliability
• Apply systematic automation approaches for scalable production data systems

• Basic computer and internet skills
• Ability to follow instructions in English and complete short exercises