Data Governance Mastery: Best Practices for Data Management
Unleashing the Power of Data Governance: A Comprehensive Guide
Lectures -47
Resources -1
Duration -5 hours
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Course Description
The "Mastering Data Governance: Best Practices for Effective Data Management" course is designed to equip learners with the knowledge and skills required to implement and manage effective data governance practices within an organization. Data governance is a critical component of modern data management, ensuring data quality, security, and compliance with regulatory requirements. This course covers a wide range of topics, from the fundamentals of data governance to advanced practices and emerging trends.
Course Outline:
Unit 1: Introduction to Data Governance
•What Is Data Governance?
•Why Is Data Governance Important?
•Why Data Governance often falls short of expectations?
Unit 2: Introduction to Data Governance Framework
•The Data Governance Framework: DAMA, DCAM, CMMI, IBM, Sandford, Gartner
Unit 3: Comprehensive Data Governance
•Data Governance Implementation Approach
•Data Governance Goals, Business Drivers, Activities, Deliverables
Unit 4: Data Governance Operating Model
•Data Governance Operating Model Type
•Centralized Data Governance Operating Model: Real Example
•Structure
•Roles & Responsibilities
•Rights & Duties
Of Data Committee and Members
Unit 5: Data Governance Tools and Techniques
•Data Governance Tools
•Business & Data Glossary Catalog
•Demo – Business Glossary with IBM Governance Catalog
Unit 6: Data Quality Management
•Understanding Data Quality
•Measuring Data Quality
•Data Quality Implementation Approach
Unit 7: Data Governance Implementation
•Data Governance Implementation Guidelines
•Data Governance Metrics
•Data Governance Roadmap
•Data Governance Change Management
Unit 8: Data Governance and Compliance
•Data Governance and Regulatory Compliance
•GDPR and Data Governance
•Data Privacy Best Practices
•Data Security Core Principles
Unit 9: Future Trends in Data Governance
•Evolving Data Governance Practices
•The Role of AI and Automation
•Data Governance in a Cloud Environment
Goals
What will you learn in this course:
- Understanding Data Governance
- Data Governance Frameworks
- Data Governance Implementation Approach
- Data Governance Operating Model
- Data Governance Tools and Techniques
- Data Quality Management
- Data Governance Implementation
- Data Governance and Compliance
- Future Trends in Data Governance
- Case Studies and Real-World Data Governance Examples
Prerequisites
What are the prerequisites for this course?
- Basic Understanding of Data Concepts
- Know about Data Management
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
3 Lectures
- Introduction to Data Governance 03:18 03:18
- Course Outline and Key Learning Outcomes 05:14 05:14
- Get the Materials
Introduction to Data Governance
3 Lectures
Introduction to Data Governance Framework
1 Lectures
Comprehensive Data Governance
9 Lectures
Data Governance Operating Model
7 Lectures
Data Governance Tools and Techniques
8 Lectures
Data Quality Management
3 Lectures
Data Governance Implementation
4 Lectures
Data Governance and Compliance
4 Lectures
Future Trends in Data Governance
4 Lectures
Summary Session
1 Lectures
Instructor Details
Daniel Pham
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