Advanced Big Data Governance and Quality Course

Name: Advanced Big Data Governance and Quality Management Training Course
Availability: InStock

Design decision rights, ownership, quality, metadata, lineage, risk controls, analytics accountability, and a staged governance roadmap.

Advanced Big Data Governance and Quality Course

At a glance

Duration: 12 days
Format: Classroom
Cities: Tbilisi, Marbella, Milan, Dubai, Jakarta, Bangkok and more
Next session: 19 – 30 October 2026, Tbilisi
Average fee: 9,900 €

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Advanced Big Data Governance and Quality Management Training Course

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Overview

Advanced Big Data Governance and Quality Management Training Course is a ten-day advanced course for governance leads, quality managers, analytics leaders, risk functions, technology architects, data owners, and transformation teams who leave with a Big Data Governance Operating Model and Implementation Pack. Participants connect governance decision rights, data ownership, data stewardship, policy architecture, metadata management, data lineage, quality measurement, privacy risk, lifecycle controls, analytics accountability, governance metrics, and implementation roadmaps. Agile Leaders Training Center develops advanced big data governance capability.

Who Should Attend

Data governance functions responsible for mandates, forums, and decision rights
Data quality functions responsible for measurement, controls, and remediation
Analytics leadership functions responsible for trustworthy analytical evidence
Risk and compliance functions responsible for data control and accountability
Technology architecture functions responsible for metadata, lineage, access, and lifecycle services
Business data-owner functions responsible for definitions, quality expectations, and issue decisions

The course assumes participants can interpret data flows, policies, quality measures, risk controls, and organizational accountabilities, and leaves out introductory database design, coding, platform administration, legal advice, and certification preparation.

Departments and Industries

The course supports departments and industries that govern large-scale operational and analytical data.

Financial services data governance
Healthcare information management
Telecommunications and digital platforms
Manufacturing and industrial analytics
Retail and customer-data operations
Public-service digital governance

Learning Objectives

By the end of this course, participants will be able to:

Build governance mandates, decision rights, and operating structures
Apply ownership, stewardship, metadata, and lineage controls
Analyze data-quality measures and root causes
Evaluate access, privacy, security, and lifecycle risks
Build analytics accountability and governance metrics
Prioritize a staged governance implementation roadmap

Course Agenda

Day 1: Frame Big Data Governance

Big Data Governance Mandate Canvas
DAMA-DMBOK Governance Knowledge Area Map
Governance Principle and Outcome Register
Data Domain and Critical Data Scope Matrix
Governance Maturity Baseline Assessment

Day 2: Design Decision Rights

Governance Council and Forum Architecture
Data Decision Rights Matrix
Escalation and Exception Workflow
Policy Authority and Approval Map
Governance Service Catalogue

Day 3: Establish Ownership and Stewardship

Data Owner Accountability Charter
Data Steward Responsibility Matrix
Domain Team and Custodian Interface Map
Definition Approval and Change Workflow
Data Issue Ownership and Resolution Protocol

Day 4: Govern Metadata and Lineage

Business Glossary Operating Model
Metadata Classification and Minimum Attribute Standard
Source-to-Consumption Data Lineage Map
Metadata Change and Version Control Workflow
Lineage Evidence and Traceability Review

Day 5: Manage Data Quality

ISO 8000-8:2015 Quality Concept Map
Data Quality Dimension and Rule Catalogue
Quality Measurement and Threshold Scorecard
Root Cause and Control Failure Analysis
Remediation and Prevention Action Register

Day 6: Control Access and Lifecycle

Data Classification and Handling Matrix
Role-Based Access Decision Framework
Retention, Archiving, and Disposal Schedule
Third-Party Data Sharing Control Map
Lifecycle Control Evidence Checklist

Day 7: Address Privacy and Security Risk

NIST Big Data Security and Privacy Fabric Map
Privacy Risk Scenario and Impact Register
Security Threat and Control Assessment
Sensitive Data Use and Minimization Review
Risk Acceptance and Treatment Decision Record

Day 8: Govern Analytics and Models

Analytical Dataset Approval Checklist
Feature and Transformation Traceability Record
Model Input Quality and Suitability Review
Analytical Evidence and Limitation Statement
Human Oversight and Decision Accountability Matrix

Day 9: Measure and Implement Governance

Governance Performance and Adoption Dashboard
Control Effectiveness and Issue Trend Review
Operating Model Gap and Dependency Map
Implementation Wave Prioritization Matrix
Governance Change and Communication Plan

Day 10: Practice Governance Implementation

Exercise: Build a Governance Mandate and Decision Matrix
Exercise: Map Ownership, Metadata, and Lineage Controls
Exercise: Diagnose Quality, Privacy, and Security Risks
Exercise: Prioritize Metrics and Implementation Waves
Capstone: Big Data Governance Operating Model and Implementation Pack

Practical Exercises

The course uses suggested activities based on financial, healthcare, industrial, retail, digital-platform, and public-service data scenarios.

Suggested activity: map governance forums, decision rights, ownership, stewardship, and escalation for a selected data domain.
Suggested activity: trace critical data from source to consumption and design metadata, lineage, and quality controls.
Suggested activity: evaluate access, lifecycle, privacy, security, and analytical-accountability scenarios.
Suggested activity: assemble metrics, priorities, implementation waves, communications, and dependencies in the final operating-model pack.

FAQs

Who suits advanced big data governance training, and what does it assume?

Governance, quality, analytics, risk, architecture, ownership, and transformation functions suit the course; it assumes experience with data flows, policies, measures, risks, and organizational accountability.

How does advanced big data governance differ from general data-management training?

Advanced big data governance focuses on decision rights, accountability, controls, quality evidence, risk, analytics oversight, metrics, and implementation across large-scale data, while general data management may survey broader technical disciplines.

How do data ownership and data stewardship differ in big data governance?

Data ownership carries business accountability and decision authority, while data stewardship performs coordinated definition, quality, metadata, issue, and control activities under that authority.

Why are metadata and lineage essential to big data governance?

Metadata explains meaning, structure, ownership, and handling, while lineage shows origin, movement, transformation, and consumption; together they support traceability, quality investigation, access decisions, and analytical accountability.

How is big data governance implementation measured?

Implementation is measured through adoption, decision timeliness, ownership coverage, metadata and lineage completeness, quality trends, issue resolution, control effectiveness, risk treatment, and delivery of prioritized roadmap outcomes.

Conclusion

Participants take back a Big Data Governance Operating Model and Implementation Pack linking mandates, decisions, ownership, stewardship, metadata, lineage, quality, access, lifecycle, risk, analytics, metrics, and roadmap waves. It changes isolated controls into a coordinated governance system. The pack supports accountable implementation across business, data, risk, technology, and transformation functions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 74 events

Location	Dates	Duration	Mode	Price
Geneva	Week 04, 2027 31 January – 11 February 2027	12 Days	Onsite	€11,000
Frankfurt	Week 05, 2027 1 – 12 February 2027	12 Days	Onsite	€10,000
Doha	Week 05, 2027 7 – 18 February 2027	12 Days	Onsite	€10,000
Singapore	Week 06, 2027 8 – 19 February 2027	12 Days	Onsite	€10,000
Zanzibar	Week 06, 2027 14 – 25 February 2027	12 Days	Onsite	€9,000
Vienna	Week 07, 2027 15 – 26 February 2027	12 Days	Onsite	€10,000
Manama	Week 07, 2027 21 February – 4 March 2027	12 Days	Onsite	€8,000
Milan	Week 09, 2027 1 – 12 March 2027	12 Days	Onsite	€10,000
Paris	Week 10, 2027 8 – 19 March 2027	12 Days	Onsite	€10,000
Barcelona	Week 11, 2027 15 – 26 March 2027	12 Days	Onsite	€10,000
Rome	Week 12, 2027 22 March – 2 April 2027	12 Days	Onsite	€10,000
Dubai	Week 13, 2027 29 March – 9 April 2027	12 Days	Onsite	€8,500
Cairo	Week 14, 2027 5 – 16 April 2027	12 Days	Onsite	€7,000
Abu Dhabi	Week 14, 2027 5 – 16 April 2027	12 Days	Onsite	€8,000
Amsterdam	Week 15, 2027 12 – 23 April 2027	12 Days	Onsite	€10,000
Prague	Week 16, 2027 19 – 30 April 2027	12 Days	Onsite	€10,000
Berlin	Week 16, 2027 19 – 30 April 2027	12 Days	Onsite	€10,000
New York	Week 17, 2027 26 April – 7 May 2027	12 Days	Onsite	€16,000
Johannesburg	Week 17, 2027 2 – 13 May 2027	12 Days	Onsite	€6,400
Baku	Week 18, 2027 3 – 14 May 2027	12 Days	Onsite	€8,800

Frequently asked questions

What does this course cover?

OverviewAdvanced Big Data Governance and Quality Management Training Course is a ten-day advanced course for governance leads, quality managers, analytics leaders, risk functions, technology architects, data owners, and transformation teams who leave with a Big Data Governance Operating Model and Implementation Pack. Participants connect governance decisi…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Advanced Big Data Governance and Quality Course