A tailored course, built for your situation
Mastering ISO 20000 for Azure Data Engineers
Turn compliance requirements into accelerated delivery with structured service management frameworks.
The situation this course is for
Data engineers often deliver technically sound pipelines that stall in handoff due to missing service documentation, inconsistent change controls, or audit-readiness gaps. The delay isn't in the code, it's in the compliance translation.
Who this is for
Senior data engineers in regulated or globally delivered IT environments who own end-to-end pipeline delivery and service handoff under ISO 20000 or similar frameworks.
Who this is not for
This is not for junior developers, data scientists, or analysts focused solely on modeling or querying. It’s for engineers who own production handoff and service lifecycle compliance.
What you walk away with
- Produce ISO 20000-aligned service documentation in under two days
- Reduce service onboarding cycles from weeks to days
- Automate change control logging within Azure DevOps workflows
- Ship audit-ready service artifacts on first submission
- Standardize service handoffs across global delivery teams
The 12 modules (with all 144 chapters)
- What ISO 20000 means for data engineers
- Service vs system: key distinctions
- Mapping data pipelines to service records
- Compliance expectations by region
- How ISO 20000 interacts with Azure policies
- Documenting service scope accurately
- Identifying service owner roles
- Versioning service definitions
- Tracking service changes over time
- Linking SLAs to pipeline performance
- Integrating incident management triggers
- Preparing for internal audits
- Defining service boundaries clearly
- Capturing service requirements
- Designing for maintainability
- Embedding monitoring into design
- Documenting data lineage as service asset
- Setting up change advisory boards
- Creating service design packages
- Validating design with stakeholders
- Version control for service design
- Automating design checklist completion
- Linking design to deployment scripts
- Handoff criteria for operations
- Planning service transitions
- Building transition runbooks
- Testing in isolated environments
- Validating data quality gates
- Documenting rollback procedures
- Scheduling change windows
- Notifying stakeholders pre-launch
- Capturing post-launch issues
- Updating service catalog entries
- Integrating with Azure Monitor
- Using tags for service tracking
- Closing transition with sign-off
- Classifying change types
- Standard vs emergency changes
- Filling out change requests
- Automating change logging
- Linking changes to pipelines
- Reviewing impact on SLAs
- Scheduling CAB meetings
- Documenting change outcomes
- Auditing change history
- Reducing approval cycles
- Integrating with Azure DevOps
- Maintaining change calendars
- Detecting pipeline incidents
- Classifying incident severity
- Logging incidents in service tools
- Escalating to support teams
- Linking incidents to changes
- Conducting root cause analysis
- Documenting problem records
- Creating known error database
- Updating runbooks from incidents
- Reducing recurrence rate
- Reporting on incident trends
- Closing incidents with evidence
- Defining configuration items
- Building CMDB entries
- Linking CI to service maps
- Tracking software versions
- Documenting dependencies
- Using Azure Resource Graph
- Tagging for compliance
- Auditing configuration data
- Updating asset records
- Integrating with service catalog
- Mapping data flows to CIs
- Generating compliance reports
- Setting up service desks for data
- Handling service requests
- Monitoring pipeline uptime
- Alerting on SLA breaches
- Scheduling routine checks
- Documenting operational tasks
- Using Azure Monitor dashboards
- Integrating with ITSM tools
- Escalating unresolved issues
- Maintaining operational logs
- Updating runbooks regularly
- Reviewing operational performance
- Collecting service feedback
- Measuring service KPIs
- Identifying improvement areas
- Prioritizing enhancements
- Planning improvement cycles
- Implementing changes
- Tracking improvement impact
- Documenting lessons learned
- Sharing best practices
- Updating service designs
- Engaging stakeholders in review
- Closing CSI initiatives
- Identifying automatable tasks
- Building documentation templates
- Generating service records
- Auto-filling change logs
- Scripting CMDB updates
- Integrating with Azure Functions
- Using Power Automate flows
- Validating automation output
- Scheduling compliance checks
- Alerting on gaps
- Versioning automation scripts
- Auditing automation runs
- Understanding audit scope
- Listing required evidence
- Organizing documentation
- Linking evidence to controls
- Using Azure logs as proof
- Preparing interview answers
- Conducting pre-audit reviews
- Fixing gaps early
- Generating audit trails
- Presenting service maturity
- Responding to auditor questions
- Closing findings promptly
- Aligning with IT service teams
- Communicating with compliance
- Engaging security reviewers
- Coordinating with operations
- Using common terminology
- Sharing documentation
- Resolving cross-team conflicts
- Building trust through consistency
- Participating in CAB meetings
- Contributing to service reviews
- Escalating collaboratively
- Maintaining shared calendars
- Assessing current projects
- Identifying quick wins
- Setting personal goals
- Mapping to ISO 20000 clauses
- Prioritizing improvements
- Creating action plan
- Tracking progress
- Gathering feedback
- Refining approach
- Documenting successes
- Sharing with peers
- Planning next steps
How this maps to your situation
- When launching a new data pipeline
- Before audit season begins
- After a service incident review
- During cross-team alignment initiatives
Before vs. after
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 3 hours per module, designed to be completed over 4-6 weeks with real-world application.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to Azure data engineers who need to deliver faster while meeting ISO 20000 requirements. No other course bridges cloud engineering with service management this concretely.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.