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Il y a 2 modules dans ce cours
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.
Learners will master the foundational concepts and practical applications of CI/CD pipelines for data deployment automation.
Inclus
3 vidéos1 lecture1 devoir
Afficher les informations sur le contenu du module
3 vidéos•Total 12 minutes
Why Automated Deployments Transform Data Operations•3 minutes
CI/CD Pipeline Architecture for Data Systems•5 minutes
Setting Up Your First GitHub Actions Workflow•4 minutes
1 lecture•Total 8 minutes
Essential CI/CD Tools and Technologies for Data Teams•8 minutes
Learners will implement comprehensive automated deployment workflows that safely promote data pipeline components from staging to production with proper validation and monitoring.
Inclus
2 vidéos2 lectures2 devoirs1 laboratoire non noté
Afficher les informations sur le contenu du module
2 vidéos•Total 8 minutes
Advanced GitHub Actions for Production Deployments•5 minutes
Building Complete GitHub Actions Deployment Pipeline•3 minutes
2 lectures•Total 18 minutes
Enterprise Data Deployment Challenges and Automation Solutions•8 minutes
Monitoring and Validation Strategies for Automated Deployments•10 minutes
Advanced Data Deployment Automation Knowledge Check•5 minutes
1 laboratoire non noté•Total 20 minutes
Automated Data Pipeline Deployment with GitHub Actions•20 minutes
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