Unity Catalog and Data Governance Training Course

 Unity Catalog and Data Governance Training Course 

Introduction 

Unity Catalog and Data Governance Training Course is a comprehensive professional programme designed to equip participants with practical knowledge and advanced skills in enterprise data governance, data security, metadata management, and data lifecycle administration using Databricks Unity Catalog. As organisations increasingly adopt cloud-based data platforms, data lakehouse architectures, artificial intelligence, and big data analytics, effective data governance has become essential for ensuring data quality, regulatory compliance, security, and operational efficiency. This course explores the core capabilities of Unity Catalog, including centralised metadata management, data discovery, access control, lineage tracking, auditing, data classification, and secure data sharing. Participants will gain practical experience implementing scalable governance frameworks that support modern enterprise data environments while strengthening data transparency, accountability, and trust. 

The training also examines advanced data governance strategies, including role-based access control, attribute-based access control, data stewardship, policy enforcement, regulatory compliance, and automated governance workflows. Participants will learn how to establish governance policies across multiple workspaces, manage permissions for structured and unstructured data, monitor data access activities, and implement secure collaboration through governed data sharing. Practical exercises and international case studies will demonstrate how organisations across financial services, healthcare, telecommunications, manufacturing, and public administration use centralised governance frameworks to manage enterprise data assets. By the end of the programme, participants will be equipped to design, implement, and maintain robust Unity Catalog environments that support secure data engineering, business intelligence, machine learning, and responsible artificial intelligence initiatives. 

Course Objectives 

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

1. Understand Unity Catalog architecture and enterprise data governance principles.
2. Configure centralised metadata management across Databricks workspaces.
3. Implement role-based access control and attribute-based access control.
4. Establish secure data access policies and permission hierarchies.
5. Manage data lineage, discovery, classification, and traceability.
6. Develop enterprise data governance frameworks and standards.
7. Implement data auditing, monitoring, and compliance controls.
8. Configure governed data sharing and collaboration environments.
9. Apply data quality management and metadata documentation practices.
10. Manage storage credentials, external locations, and data access.
11. Strengthen cloud data security and privacy management.
12. Implement governance controls supporting artificial intelligence and machine learning.
13. Optimise enterprise data governance through automation and continuous monitoring.

Organizational Benefits
 

1. Strengthens enterprise data security and access management.
2. Improves regulatory compliance and accountability.
3. Enhances data discovery and organisational transparency.
4. Reduces unauthorised access and data security risks.
5. Improves data quality and metadata consistency.
6. Supports scalable cloud data management.
7. Enhances collaboration across departments.
8. Improves audit readiness and regulatory reporting.
9. Promotes responsible artificial intelligence and analytics.
10. Reduces operational inefficiencies through centralised governance.

Target Audiences
 

1. Data governance managers and enterprise data architects.
2. Databricks administrators and platform engineers.
3. Data engineers and analytics professionals.
4. Database administrators and cloud specialists.
5. Information security and compliance officers.
6. Business intelligence and data management professionals.
7. Machine learning and artificial intelligence engineers.
8. IT managers, data stewards, and digital transformation consultants.

Course Duration: 5 days

Course Modules

Module 1: Introduction to Unity Catalog and Data Governance
 

• Unity Catalog architecture and core capabilities.
• Enterprise data governance frameworks and operating models.
• Databricks lakehouse architecture and governance integration.
• Centralised metadata management and data organisation.
• Data ownership, stewardship, and accountability.
• Case study: Enterprise data governance transformation in a global financial institution.

Module 2: Unity Catalog Architecture and Administration
 

• Metastore configuration and administration.
• Catalogs, schemas, tables, volumes, and functions.
• Workspace bindings and governance hierarchies.
• Managed and external data assets.
• Multi-workspace governance implementation.
• Case study: Centralised data administration across multinational business operations.

Module 3: Data Access Control and Security Management
 

• Role-based access control and privilege management.
• Grant, revoke, and inheritance mechanisms.
• Attribute-based access control principles.
• Row-level security and column-level security.
• Identity management and service principals.
• Case study: Secure customer data access in international banking operations.

Module 4: Metadata Management, Discovery and Classification
 

• Metadata registration and documentation.
• Data discovery and enterprise data cataloguing.
• Sensitive data classification and tagging.
• Data ownership and business glossary management.
• Metadata governance and standardisation.
• Case study: Healthcare data classification and discovery in a global hospital network.

Module 5: Data Lineage, Auditing and Monitoring
 

• Automated data lineage and dependency tracking.
• Table, column, and pipeline lineage analysis.
• Audit logs and access monitoring.
• Governance dashboards and activity reporting.
• Data traceability and accountability frameworks.
• Case study: Data lineage and regulatory auditing in international financial services.

Module 6: Data Sharing and Collaboration Governance
 

• Delta Sharing architecture and implementation.
• Secure internal and external data sharing.
• Recipient and provider administration.
• Data collaboration and access restrictions.
• Governance controls for shared datasets.
• Case study: Cross-organisational data sharing among global supply chain partners.

Module 7: Regulatory Compliance and Data Protection
 

• Data privacy and protection principles.
• General Data Protection Regulation compliance considerations.
• Data retention and lifecycle management.
• Governance policies for sensitive information.
• Risk assessment and compliance monitoring.
• Case study: Privacy governance implementation in a multinational telecommunications company.

Module 8: Advanced Governance, Automation and Best Practices
 

• Governance automation and policy enforcement.
• Integration with data engineering and machine learning workflows.
• Secure artificial intelligence and analytics governance.
• Governance performance assessment and optimisation.
• Enterprise governance implementation roadmap.
• Case study: Scaling governed lakehouse operations across a global manufacturing enterprise.

Training Methodology
 

• Instructor-led presentations and interactive technical discussions.
• Practical Databricks Unity Catalog configuration exercises.
• Guided demonstrations and real-world governance scenarios.
• Group assignments involving enterprise data governance frameworks.
• Hands-on security, permissions, and metadata management laboratories.
• International case studies and collaborative problem-solving exercises.
• Practical assessments and end-of-course implementation projects.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.