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- Data
DataOps Foundations
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: 1. DataOps Foundations: Core Concepts (video course) 2. DataOps Foundations: Pipeline Operations (video course) 3. DataOps Foundations: Data Quality and Testing (video course) 4. DataOps Foundations: Versioning and Change Management (video course) 5. DataOps Foundations: Monitoring and Observability (video course) 6. DataOps Foundations: Governance and Collaboration (video course) 7. DataOps Foundations: Tooling Patterns and Adoption Strategies (video course)
DataOps is a collaborative and process-focused approach that applies automation, quality practices, and operational rigor to the creation and delivery of data products. This path introduces learners to the core principles, methods, and practical skills needed to make data pipelines more reliable, observable, and scalable within real organizations. Learners will use this path to confidently improve how data flows from development to production with consistency, trust, and faster delivery cycles.
Content in this path
DataOps Foundations
Watch the following courses to start your DataOps learning journey.
Try this learning path for free
What You'll Learn
- DataOps core concepts and terminology
- How pipeline operations work in DataOps
- How data quality and testing work in DataOps
- How versioning and change management work in DataOps
- How monitoring and observability work in DataOps
- How governance and collaboration work in DataOps
- Common tooling and adoption strategies for DataOps
- Learners should have a basic understanding of working with data pipelines, databases, or analytics outputs, along with familiarity using SQL or similar data query tools. No prior DevOps, software engineering, or automation experience is required.
- Data operations
- Data pipelines
- Data quality
- Data governance