A tailored course, built for your situation
Sources and specific examples on hand when peers push back
Build unshakable reasoning for data platform decisions using ISO 20000 principles
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Having to defend data engineering design choices without clear references or structured justification
The situation this course is for
Spending cycles re-explaining architectural decisions because stakeholders lack confidence in the underlying logic. Fielding repeated questions about data service ownership, change control, or integration patterns without a shared language or documented precedent. Losing momentum when platform decisions get challenged mid-cycle due to perceived ambiguity.
Who this is for
Data engineers in regulated enterprise environments who own end-to-end design and are expected to justify their choices to cross-functional teams
Who this is not for
Entry-level pipeline developers, analysts using self-service tools, or engineers whose work doesn't require cross-team service agreements
What you walk away with
- Articulate the rationale behind data service boundaries using ISO 20000 service design clauses
- Reference specific control objectives when proposing change management workflows
- Map data platform components to documented service lifecycle stages
- Deploy example-based responses for common design pushbacks
- Build a reusable library of cited reasoning for audit-facing deliverables
The 12 modules (with all 144 chapters)
Module 1. Why ISO 20000 matters for data engineers
Introduces the relevance of service management frameworks to data platform reliability and stakeholder trust. Focuses on how ISO 20000 provides language and structure that aligns engineering with operations and compliance.
12 chapters in this module
- Defining service in data engineering
- Linking pipelines to business outcomes
- Service lifecycle overview
- ISO 20000 scope and structure
- Service design phase defined
- Service transition explained
- Service operation components
- Continual improvement model
- Roles in service delivery
- Service owner accountability
- Service level agreements purpose
- Service catalogue fundamentals
Module 2. Service design principles for data workflows
Translates ISO 20000 service design into practical decisions for pipeline architecture. Shows how to use design criteria to justify topology, ownership, and SLA boundaries.
12 chapters in this module
- Designing for maintainability
- Service design package elements
- Capacity planning integration
- Availability agreements drafting
- Service continuity planning
- Security in design phase
- Supplier interface design
- Change evaluation framework
- Release package structure
- Data handoff protocols
- Error handling standards
- Service acceptance criteria
Module 3. Mapping data pipelines to service components
Shows how to decompose ETL processes into service elements using ISO 20000 terminology. Builds common language with operations and audit teams.
12 chapters in this module
- Identifying service components
- Naming conventions standard
- Interface documentation format
- Dependency mapping method
- Service portfolio alignment
- Data flow as service
- Orchestration as service
- Monitoring integration points
- Logging as service feature
- Alerting service design
- Pipeline ownership definition
- Version control practices
Module 4. Building referenced reasoning for design choices
Teaches how to cite ISO 20000 clauses to justify architecture decisions. Focuses on creating traceable logic for review cycles and peer discussion.
12 chapters in this module
- Linking decisions to clauses
- Writing audit-ready justifications
- Citing control objectives
- Using framework language
- Documenting rationale
- Storing references centrally
- Versioning reasoning assets
- Cross-referencing designs
- Creating precedent files
- Updating reasoning over time
- Sharing rationale widely
- Archiving deprecated logic
Module 5. Handling pushback with specific examples
Equips you with real-world analogs and framework-aligned responses for common challenges to data architecture decisions.
12 chapters in this module
- Common design objections
- Response structure pattern
- Example library curation
- Adapting examples to context
- Peer challenge scenarios
- Stakeholder communication plan
- Escalation prevention tactics
- Meeting preparation checklist
- Defensible compromise method
- Feedback integration process
- Post-mortem documentation
- Improvement tracking
Module 6. Service level agreements in data engineering
Shows how to define and enforce measurable commitments between data teams and consumers using ISO 20000 principles.
12 chapters in this module
- Defining service levels
- SLA drafting process
- Uptime commitments
- Latency targets definition
- Freshness SLA design
- Availability calculations
- Penalty clauses avoidance
- SLA negotiation framework
- Renewal cycles planning
- Performance reporting
- SLA review process
- Consumer expectations alignment
Module 7. Change evaluation and control workflows
Builds robust change justification using ISO 20000 change evaluation techniques. Focuses on traceable impact analysis and stakeholder alignment.
12 chapters in this module
- Change types classification
- Impact assessment method
- Urgency vs priority matrix
- Change advisory board role
- Standard change definition
- Emergency change process
- Change schedule planning
- Backout plan requirements
- Post-implementation review
- Change success metrics
- Audit trail preservation
- Change communication plan
Module 8. Service continuity for data pipelines
Applies ISO 20000 service continuity principles to data platform resilience. Enables justification of backup, failover, and recovery design.
12 chapters in this module
- Continuity risk assessment
- Recovery time objectives
- Recovery point definitions
- Failover testing schedule
- Data redundancy strategy
- Disaster recovery plan
- Backup frequency standards
- Infrastructure dependency
- Provider continuity checks
- Recovery drill execution
- Documentation maintenance
- Continuity reporting
Module 9. Security considerations in service design
Integrates ISO 20000 security controls into data workflow architecture. Builds defensible security posture across pipeline components.
12 chapters in this module
- Security policy alignment
- Access control design
- Data classification integration
- Encryption in transit
- Encryption at rest
- Secrets management
- Audit logging scope
- Vulnerability scanning
- Penetration testing plan
- Incident response links
- Compliance mapping
- Security review checklist
Module 10. Continual service improvement applications
Applies ISO 20000 improvement processes to data engineering. Builds defensible case for iterative pipeline enhancements.
12 chapters in this module
- Improvement cycle overview
- Performance baseline setting
- Gap identification method
- Prioritisation framework
- Initiative evaluation
- Improvement proposal writing
- Stakeholder buy-in
- Success measurement
- Feedback collection
- Learning documentation
- Improvement roadmap
- ROI justification
Module 11. Integration with existing data governance
Shows how ISO 20000 complements data governance frameworks. Builds unified justification across compliance, engineering, and audit teams.
12 chapters in this module
- Governance framework overlap
- Metadata alignment
- Data quality links
- Policy enforcement points
- Stewardship integration
- Catalogue linkage
- Privacy-by-design
- Retention policy mapping
- Audit trail alignment
- Lineage documentation
- Cross-framework mapping
- Unified reporting
Module 12. Building your defensible platform narrative
Synthesises ISO 20000 applications into a cohesive, justifiable data platform story. Prepares you to lead with confidence in cross-functional forums.
12 chapters in this module
- Narrative structure design
- Stakeholder-specific messaging
- Executive summary drafting
- Technical deep-dive prep
- Pre-emptive Q&A planning
- Visual aid creation
- Story consistency check
- Feedback integration
- Narrative evolution
- Version control process
- Knowledge transfer method
- Leadership endorsement
How this maps to your situation
- When designing a new pipeline
- During peer review cycles
- Before audit engagements
- When negotiating SLAs with consumers
Before vs. after
Before
Having to re-explain design decisions because stakeholders lack confidence in the underlying logic
After
Walking into cross-functional meetings with cited frameworks and specific examples ready for pushback
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 4 hours per module, designed to be consumed in short sessions over 12 weeks
If nothing changes
Continuing to spend cycles defending choices without structured references, leading to slower adoption, repeated scrutiny, and diminished influence on platform direction
How this compares to the alternatives
Unlike generic compliance courses, this focuses on actionable ISO 20000 applications within data engineering workflows. Compared to certification prep, it's scenario-driven and built around real-world pushback, not exam objectives.
Frequently asked
Will this help me justify pipeline design to non-technical stakeholders?
Yes. Each module includes techniques for translating ISO 20000 principles into clear, stakeholder-facing reasoning with concrete examples.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior ISO 20000 knowledge required?
No. The course starts from first principles and builds applied understanding through data engineering scenarios.
$199 one-time. Approximately 4 hours per module, designed to be consumed in short sessions over 12 weeks.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours