What you'll learn

Many data teams struggle, not because their pipelines are complex, but because their governance practices are unclear and their collaboration habits are fragmented. This leads to inconsistent definitions, compliance risks, slow delivery, and low trust in data.

In this course, DataOps Foundations: Governance and Collaboration, you’ll gain the ability to build trusted, well-managed, and collaborative DataOps ecosystems where governance and teamwork accelerate outcomes instead of blocking them.

First, you’ll explore how governance frameworks, policies, standards, and stewardship roles create responsible, secure, and consistent data usage across domains and pipelines.

Next, you’ll discover how communication routines, shared artifacts, metadata, and documentation reduce friction and align producers, consumers, and stakeholders around shared outcomes.

Finally, you’ll learn how to apply cross-functional workflows and feedback loops that streamline handoffs, resolve conflicting requirements, and support adaptive, product-oriented DataOps practices.

When you’re finished with this course, you’ll have the skills and knowledge of DataOps governance and collaboration needed to deliver trusted, compliant, and high-quality data through aligned, collaborative, and well-governed operational practices.