A tailored course, built for your situation
Production-Grade Data Catalog Implementation for Regulated Industries
A 12-module deep dive into scalable, compliant data catalog systems for high-assurance environments
$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 teams in regulated environments struggle to balance agility with compliance, often defaulting to siloed or fragile solutions that fail audits or scale poorly.
The situation this course is for
Without a robust data catalog, teams face mounting friction in audits, inconsistent lineage reporting, and rising costs in data discovery and access provisioning. Traditional approaches either over-engineer or under-deliver, leaving compliance gaps or technical debt.
Who this is for
Mid-to-senior data engineers, compliance architects, data stewards, and governance leads in financial services, healthcare, insurance, and other highly regulated domains.
Who this is not for
This course is not for professionals seeking introductory data literacy content or generalized data mesh overviews. It assumes foundational data systems knowledge and focuses exclusively on production-ready catalog implementation.
What you walk away with
- Design and deploy a compliance-aligned data catalog architecture
- Integrate metadata workflows with audit and control frameworks
- Implement role-based access and data classification at scale
- Automate lineage capture and retention policies in regulated contexts
- Leverage the catalog as an enabler for AI/ML and advanced analytics governance
The 12 modules (with all 144 chapters)
Module 1. Foundations of Regulated Data Ecosystems
Establish core principles of data governance, compliance domains, and control frameworks relevant to regulated industries.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 2. Data Catalogs as Compliance Infrastructure
Position the data catalog as a foundational control layer and audit enabler.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 3. Metadata Standards for Regulated Contexts
Apply ISO, DCAM, and industry-specific metadata taxonomies with enforcement mechanisms.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 4. Architecture Patterns for Scalable Catalogs
Design for resilience, performance, and integration with existing data stacks.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 5. Identity, Access, and Entitlement Management
Implement fine-grained access controls aligned with regulatory roles and policies.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 6. Data Lineage and Provenance Engineering
Capture, validate, and visualize end-to-end data flows for audit readiness.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 7. Classification and Sensitivity Labeling
Automate detection and tagging of regulated data elements.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 8. Retention, Archival, and Disposal Policies
Enforce data lifecycle rules in alignment with legal and operational requirements.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 9. Integration with Audit and Reporting Systems
Enable real-time audit access, evidence generation, and control monitoring.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 10. Validation and Testing in Regulated Environments
Apply test-driven approaches to catalog accuracy, completeness, and reliability.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 11. Change Management and Operational Runbooks
Operationalize catalog maintenance and evolution under compliance constraints.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 12. Scaling Beyond the Catalog to Data Product Governance
Extend catalog foundations to support data product frameworks and ownership models.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
How this maps to your situation
Before vs. after
Before
Manual tracking, inconsistent metadata, audit delays, and fragile governance processes.
After
Automated, auditable, and scalable data catalog infrastructure that supports compliance and innovation.
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 for self-paced learning with implementation checkpoints.
If nothing changes
Organizations that delay robust data catalog implementation face increasing audit friction, higher remediation costs, and constraints on advanced analytics and AI adoption in regulated settings.
How this compares to the alternatives
Unlike generic data governance courses, this program delivers implementation-grade detail specific to regulated environments, combining technical depth, compliance alignment, and operational realism not found in broader overviews or tool-specific training.
Frequently asked
Who is this course designed for?
Mid-to-senior data engineers, compliance architects, data stewards, and governance leads in regulated industries such as finance, healthcare, and insurance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior experience with data catalogs required?
No, foundational concepts are covered, but the course is designed for professionals with existing data systems or governance experience.
$199 one-time. Approximately 3 hours per module, designed for self-paced learning with implementation checkpoints..
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