Master virtualization, Docker, and Kubernetes for data engineering. Gain hands-on experience with cloud development environments, container orchestration, and production best practices.
"Kubernetes for Data Engineering with Python" is an exciting and comprehensive course that delves into the world of virtualization, containerization, and orchestration for data engineering. This course is designed to equip students with the practical skills and knowledge needed to build, deploy, and manage containerized data solutions at scale using industry-standard tools and techniques.
This course is listed as introductory level, and there are no specific prerequisites mentioned. However, a basic understanding of programming concepts and familiarity with Python would be beneficial.
This course is ideal for students, data professionals, and anyone looking to enhance their data engineering capabilities. It's perfect for those who want to gain practical skills in containerization and orchestration, which are increasingly important in modern data engineering and cloud computing environments.
Explore more courses to enhance your cloud computing and Kubernetes skills.
Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.
This class is intended for the following participants: - Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers. - Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud. - Executives and business decision makers evaluating the potential of GKE to address business needs.
