CDGP – Certified Data Governance Professional

Data Management Fundamentals Lesson 1 · 2 hours

What will you learn

• Discussion on the emergence of data management as a profession
• Discuss the relationship and differences between data and information
• Discussing data as an organizational asset
• Discussing the guiding objectives of data management
• Discussing guiding principles for data management
• The challenges of data management
• Discussing data management strategies
• Understanding common data management frameworks
• A DAMA framework describing data management
• Discussing the evolution of DAMA (Data Management Architecture) frameworks
• Understanding DAMA and DMBOK

Skills you will acquire

Data

Data Governance Lesson 2 · 2 hours

What will you learn

• Discussing guiding principles for data governance
• Understanding the key drivers of data governance
• Identify the main components of data governance
• Understanding Key Data Management Terminology and Definitions
• Analyzing key indicators of data governance
• Describe the key outputs of data governance
• Discussing the basic roles, responsibilities, and duties in data governance
• Identify key tools for data governance
• Application of data governance strategies
• Evaluating data governance theories
• Applying theory to real-world scenarios

Skills you will acquire

Data

Data Architecture Lesson 3 · 2 hours

What will you learn

• Understand the key terms and definitions in data architecture management
• Discussing guiding principles for data architecture management
• Understanding the key drivers of data architecture management
• Determine the main components of the data architecture
• Analyze key metrics of data architecture
• Key outputs describing the data architecture
• Discuss the basic roles and responsibilities in data architecture
• Identify key tools in the data architecture
• Application data architecture strategy
• Evaluate data architecture theory
• Applying theory to real-world scenarios
• Governance of data architecture management

Skills you will acquire

Data

Data Modeling and Design Lesson 4 · 2 hours

What will you learn

• Understanding key terms and definitions in data modeling and design
• Discussing guiding principles for data modeling and design
• Identify the main components of data modeling and design
• Analyze key metrics for data modeling and design
• Describe the key outputs of data modeling and design
• Discussing the basic roles, responsibilities, and duties in data modeling and design.
• Identifying key tools in data modeling and design
• Application strategies of data modeling and design
• Theories for evaluating data modeling and design
• Applying data modeling and design theory to real-world scenarios
• Governance in Data Modeling and Design

Skills you will acquire

Data

Data Storage and Operations Lesson 5 · 2 hours

What will you learn

• Understanding key terms and definitions in data storage and operations
• Discussing guiding principles for data storage and operations
• Understanding the key drivers of data storage and operation
• Identify the main components of data storage and operation
• Analyze key metrics for data storage and operation
• Key outputs describing data storage and operations
• Discussing the basic duties and responsibilities in data storage and operation
• Identify key tools for data storage and operation
• Application strategies for data storage and operation
• Evaluation of data storage and operation theories
• Applying data storage and operation theories to real-world scenarios
• Management in data storage and operations

Skills you will acquire

Data

Data Security Lesson 6 · 2 hours

What will you learn

• Understanding key terms and definitions in data security management
• Discussing guiding principles for data security management
• Understanding the key drivers of data security management
• Identify the main components of data security management
• Analyze key indicators for data security management
• Describe the key outputs of data security management
• Discussing the key roles and responsibilities in data security management
• Key tools for identifying data security management
• Application strategies in data security management
• Evaluate data security management theories
• Applying data security theory to real-world scenarios
• Governance in Data Security Management

Skills you will acquire

Data

Data Integration and Interoperability Lesson 7 · 2 hours

What will you learn

• Understanding key terms and definitions for data integration and interoperability
• Discussing guiding principles for data integration and interoperability
• Understanding the key drivers of data integration and interoperability
• Identify the key components of data integration and interoperability
• Analyze key metrics for data integration and interoperability
• Key outputs describing data integration and interoperability
• Discussing the basic roles, responsibilities, and duties in data integration and interoperability.
• Key tools for identifying data integration and interoperability
• Application strategies for data integration and interoperability
• Evaluation of data integration and interoperability theories
• Applying data integration and interoperability theories to real-world scenarios
• Governance in Data Integration and Interoperability

Skills you will acquire

Data

Reference Data and Master Data Management Lesson 8 · 2 hours

What will you learn

• Understand the key terms and definitions in reference data and master data management
• Discussing the guiding principles for reference data and master data management
• Understanding the key drivers of reference data and master data management
• Identify the main components of reference data and master data management functions.
• Analyze reference data and key metrics for master data management
• Key outputs describing reference data and master data management
• Discuss the basic duties and responsibilities in reference data and master data management.
• Key tools for identifying reference data and master data management
• Application of reference data and master data management strategies
• Evaluation reference data and master data management theory
• Applying reference data and master data management theories to real-world scenarios
• Governance in Master Data Management

Skills you will acquire

Data

Data Warehousing and Business Intelligence Lesson 9 · 2 hours

What will you learn

• Understanding key terms and definitions in data warehousing and business intelligence
• Guiding principles for discussing data warehousing and business intelligence
• Understanding the key drivers of data warehousing and business intelligence
• Identify the key components in data warehousing and business intelligence functions
• Analyzing key metrics for data warehousing and business intelligence
• Describe the key outputs of data warehousing and business intelligence
• Discussing key roles and responsibilities in data warehousing and business intelligence
• Key tools for identifying data warehousing and business intelligence
• Strategies for applying data warehousing and business intelligence management
• Applying data warehousing and business intelligence theories to real-world scenarios
• Governance in Data Warehouses and Business Intelligence

Skills you will acquire

Data

Document and Content Management Lesson 10 · 2 hours

What will you learn

• Understanding key terms and definitions in document and content management
• Discussing guidelines for document and content management
• Understanding the key drivers of document and content management
• Identify the main components in file and content management functions
• Key metrics for analysis of document and content management functions
• Key outputs of description files and content management
• Discuss the basic roles, responsibilities, and duties of document and content management
• Identify key tools for document and content management
• Strategies in Application File and Content Management
• Applying document and content management theories to real-world scenarios
• Document and content management

Skills you will acquire

Data

Metadata Management Lesson 11 · 2 hours

What will you learn

• Understanding key terms and definitions in metadata management
• Discussing guiding principles for metadata management
• Understanding the key drivers of metadata management
• Identify the main components of metadata management functionality
• Analyze key metrics for metadata management
• Describe the key outputs of metadata management
• Discussing the basic roles and responsibilities in metadata management
• Identify key tools for metadata management
• Strategies in application metadata management
• Applying metadata management theory to real-world scenarios
• Governance in Metadata Management

Skills you will acquire

Data

Data Quality Management Lesson 12 · 2 hours

What will you learn

• Understanding key data quality terms and definitions
• Discussing guiding principles for data quality
• Understanding the key drivers of data quality
• Determine the main components of data quality functions
• Key metrics for analyzing data quality
• Key outputs describing data quality functions
• Discuss the basic duties and responsibilities of the data quality function
• Key tools for determining data quality
• Application of data quality management strategies
• Applying data quality theory to real-world scenarios
• Governance in Data Quality Management

Skills you will acquire

Data

Data Ethics Lesson 13 · 2 hours

What will you learn

• Discussing the driving factors of data management
• Discussing data ethics guidelines
• Understanding key terms in data ethics
• Discussing the establishment of a data ethics culture
• Governance in Data Ethics

Skills you will acquire

Data