MOC: DataOps

DataOps methodology and team organization, from delivery discipline and self-service platform design through team topology, leadership, and incident practice. Expand any section to browse the chapter by operating concern.

mindmap
  ((Principles and Practice))
    (DataOps foundations)
    (CI/CD and testing)
    (self-service platform)
    (index operations)

Principles and Practice

domain-principles-and-practice

DataOps principles, CI/CD practices for data pipelines, index-specific operational patterns, and self-service platform engineering.

mindmap
  ((People and Organization))
    (team topology)
    (roles and careers)
    (collaboration)
    (incident leadership)

People and Organization

domain-people-and-organization

Team topology, role definitions, career progression, and leadership practices for data engineering organizations.

DataOps Cross-References

• Data Architecture — Architecture principles that DataOps operationalizes
• GitHub Actions — CI/CD automation implementing DataOps practices
• Observability — Monitoring and SLA tracking as a DataOps pillar