A tailored course, built for your situation
Production-Grade Data Catalog Implementation for Cross-Functional Programs
A structured, implementation-first path to scalable data governance
$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.
Data catalogs often stall at pilot stage due to misalignment, unclear ownership, or brittle integration.
The situation this course is for
Teams invest in catalog tools but struggle to operationalize them. Without clear implementation patterns, catalogs become shelfware, failing to support compliance, discovery, or trust at scale.
Who this is for
Business and technology professionals driving data governance, platform engineering, or compliance in complex organizations
Who this is not for
Those seeking high-level overviews or tool-specific tutorials will not find value here
What you walk away with
- Deploy a catalog architecture aligned with enterprise data governance goals
- Design metadata models that serve both technical and business stakeholders
- Integrate catalog workflows into existing data pipelines and platforms
- Establish cross-functional ownership and stewardship protocols
- Implement audit-ready controls for compliance and data lineage
The 12 modules (with all 144 chapters)
Module 1. Foundations of Production-Grade Catalogs
Define scope, success criteria, and architectural principles for enterprise readiness
12 chapters in this module
- Defining production-grade maturity
- Core components of a modern data catalog
- Governance models and decision rights
- Integration with data strategy
- Common anti-patterns and how to avoid them
- Stakeholder mapping techniques
- Use case prioritization framework
- Catalog ownership models
- Success metrics and KPIs
- Vendor landscape overview
- Open source vs. commercial tooling
- Implementation lifecycle phases
Module 2. Stakeholder Alignment and Engagement
Secure buy-in and define roles across data, IT, compliance, and business units
12 chapters in this module
- Identifying key stakeholder groups
- Communication planning for governance
- Building cross-functional coalitions
- Workshop design for alignment
- Managing resistance and incentives
- Executive sponsorship strategies
- Feedback loop design
- Change management fundamentals
- Developing shared language
- Conflict resolution in governance
- Engagement tracking methods
- Sustaining momentum post-launch
Module 3. Metadata Strategy and Classification
Design a scalable metadata model that supports discovery, compliance, and lineage
12 chapters in this module
- Types of metadata and their uses
- Business vs. technical metadata
- Classification frameworks
- Sensitivity labeling standards
- Domain-based taxonomy design
- Ownership attribution models
- Automated tagging strategies
- Semantic layer integration
- Versioning and change tracking
- Metadata quality benchmarks
- Cross-system harmonization
- Metadata lifecycle policies
Module 4. Catalog Architecture and Integration
Design integrations with data platforms, pipelines, and governance tools
12 chapters in this module
- Integration patterns overview
- API-first catalog design
- Event-driven metadata ingestion
- Batch vs. real-time sync
- Data lakehouse compatibility
- Cloud platform considerations
- ETL pipeline integration
- Data quality tooling sync
- BI and analytics platform links
- Security and access sync
- Lineage extraction methods
- Performance optimization techniques
Module 5. Data Stewardship and Ownership
Establish clear roles, responsibilities, and workflows for ongoing catalog maintenance
12 chapters in this module
- Stewardship model types
- Role definitions and RACI
- Onboarding data stewards
- Task assignment workflows
- Escalation protocols
- Stewardship KPIs
- Feedback mechanisms
- Conflict resolution processes
- Training and enablement
- Tooling support for stewards
- Rotational stewardship models
- Incentive alignment strategies
Module 6. Automated Metadata Ingestion
Design reliable pipelines to populate the catalog from diverse sources
12 chapters in this module
- Source system assessment
- Connector development patterns
- Schema inference techniques
- Parsing unstructured metadata
- Handling version drift
- Error handling and retries
- Metadata validation rules
- Provenance tracking
- Incremental update strategies
- Orchestration with Airflow, Dagster
- Monitoring ingestion health
- Recovery from ingestion failure
Module 7. Search, Discovery, and Recommendation
Enable intuitive access and surfacing of trusted data assets
12 chapters in this module
- Search relevance fundamentals
- Faceted navigation design
- Natural language query support
- Popularity and usage signals
- Personalization techniques
- Recommendation engine basics
- Contextual search results
- Bookmarking and curation
- Feedback-driven ranking
- Search analytics and tuning
- Accessibility compliance
- Mobile and low-bandwidth access
Module 8. Data Quality and Trust Indicators
Surface quality signals and trust metrics within the catalog interface
12 chapters in this module
- Defining data trust dimensions
- Freshness indicators
- Completeness scoring
- Accuracy validation methods
- Consistency checks
- Reliability ratings
- User feedback integration
- Endorsement workflows
- Incident flagging
- Automated quality rule sync
- Trust score calculation
- Displaying trust in search results
Module 9. Lineage and Impact Analysis
Implement end-to-end data lineage for compliance, debugging, and change management
12 chapters in this module
- Lineage types and use cases
- Parsing SQL for lineage
- ETL job parsing techniques
- API and service call tracing
- Downstream impact simulation
- Upstream root cause analysis
- Lineage accuracy validation
- Visualization best practices
- Performance considerations
- Integration with change control
- Automated lineage refresh
- Manual lineage annotation
Module 10. Compliance and Regulatory Alignment
Map catalog capabilities to privacy, audit, and regulatory requirements
12 chapters in this module
- GDPR data mapping
- CCPA consumer rights support
- HIPAA data classification
- SOX compliance tracking
- Audit trail requirements
- Data retention enforcement
- Consent management links
- Regulatory reporting automation
- Jurisdiction-aware labeling
- Cross-border data flow tracking
- Regulatory change monitoring
- Compliance dashboard design
Module 11. Change Management and Lifecycle Control
Govern updates, deprecations, and sunsetting of data assets
12 chapters in this module
- Data asset lifecycle phases
- Change request workflows
- Approval routing
- Versioning strategies
- Deprecation notification
- Sunsetting checklists
- Backward compatibility
- Documentation updates
- Stakeholder notification
- Automated deprecation triggers
- Legacy asset archiving
- Post-mortem analysis
Module 12. Scaling and Operating the Catalog
Operationalize the catalog for long-term success and continuous improvement
12 chapters in this module
- Monitoring catalog health
- Usage analytics tracking
- Performance benchmarking
- User satisfaction surveys
- Feedback triage process
- Roadmap prioritization
- Team structure evolution
- Budget and resource planning
- Vendor management
- Incident response for catalog
- Disaster recovery planning
- Continuous improvement cycles
How this maps to your situation
- Launching a new enterprise data catalog
- Scaling a pilot into production
- Responding to regulatory or audit pressure
- Improving cross-team data discovery and trust
Before vs. after
Before
Catalog efforts lack alignment, consistency, and operational discipline, leading to low adoption and compliance gaps.
After
Teams operate with a shared, trusted, and scalable catalog that supports governance, discovery, and compliance across the organization.
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 45, 60 hours total, designed for steady progress across six weeks with flexible pacing.
If nothing changes
Without a structured implementation approach, data catalogs remain underutilized, compliance risks grow, and cross-functional trust in data erodes.
How this compares to the alternatives
Unlike generic data governance courses or vendor-specific training, this program focuses exclusively on production-grade implementation, providing reusable frameworks, templates, and decision guides for real-world deployment.
Frequently asked
Who is this course designed for?
Data governance leads, platform engineers, compliance officers, and IT leaders responsible for deploying or scaling enterprise data catalogs.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course tool-specific?
No. It focuses on implementation patterns and decision frameworks that apply across tools and platforms.
$199 one-time. Approximately 45, 60 hours total, designed for steady progress across six weeks with flexible pacing..
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