What you'll learn

Modern data teams struggle with unreliable pipelines, reactive firefighting, and fragmented operational practices that slow delivery and erode trust in data.

In this course, DataOps Foundations: Pipeline Operations, you’ll gain the ability to design, orchestrate, and operate resilient, efficient, and observable data pipelines.

First, you’ll explore how pipelines deliver reliable, timely, and repeatable data outcomes, including how orchestration, scheduling, and dependency management support those goals.

Next, you’ll discover common pipeline patterns such as batch, micro‑batch, and streaming flows, along with modularity, reusable components, and iterative improvement practices that increase agility and quality.

Then, you’ll learn how to strengthen operational excellence through lineage, auditability, and traceability, gaining an understanding of proactive monitoring and disciplined troubleshooting that reduces bottlenecks and prevents failures.

Finally, you'll see common reasons for pipeline failures, how to manage pipeline environments, and how to use feedback loops and metrics to improve your pipelines.

When you’re finished with this course, you’ll have the skills and knowledge of DataOps foundations with pipeline operations needed to design, orchestrate, and operate resilient, efficient, and observable data pipelines using core DataOps principles.