Rust DataOps: CI/CD and Containers for Data Pipelines
About this course
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Master modern DataOps practices by building robust, automated CI/CD pipelines for data applications using Rust. This course teaches you how to design, implement, and maintain end-to-end deployment pipelines that combine the safety and performance of Rust with industry-standard DevOps tooling. You will start with the fundamentals of Continuous Integration and Continuous Deployment, then progress to advanced topics including matrix builds, interdependent jobs, Dockerfile linting, and container packaging. Hands-on labs use GitHub Actions, Makefiles, and Docker to give you practical experience automating the full software delivery lifecycle for data-driven Rust applications. By the end of the course, you will be able to: write production-grade GitHub Actions workflows; lint, test, and release containerized Rust applications; manage complex job dependencies and matrix configurations; and ship a complete end-to-end deployment pipeline. Whether you are a data engineer modernizing your pipelines or a Rust developer adopting DataOps, this course gives you the patterns and tools to deliver reliable, automated, container-based data systems.
68/100
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- Who stands behind it
- 20/35
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What you'll learn
- write production-grade GitHub Actions workflows
- lint, test, and release containerized Rust applications
- manage complex job dependencies and matrix configurations
- ship a complete end-to-end deployment pipeline
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