Virtualization, Docker, and Kubernetes for Data Engineering
Completed by Mario Jiménez Gutiérrez
July 25, 2024
27 hours (approximately)
Mario Jiménez Gutiérrez's account is verified. Coursera certifies their successful completion of Virtualization, Docker, and Kubernetes for Data Engineering
What you will learn
Master virtualization, containerization, and Docker, including Dockerfile creation and multi-container orchestration with Compose and Airflow.
Develop expertise in Kubernetes core concepts, cluster architecture, and deployment using cloud environments, GitHub Codespaces, and AI-driven tools.
Navigate data scenarios mastering containerization, deploying apps, and addressing production issues with cloud orchestration and SRE practices.
Skills you will gain
- Category: Microservices
- Category: Containerization
- Category: Scalability
- Category: Cloud Development
- Category: Database Management
- Category: Cloud-Based Integration
- Category: Site Reliability Engineering
- Category: Virtual Machines
- Category: Application Deployment
- Category: Kubernetes
- Category: Devops Tools
- Category: Docker (Software)
