This course provides comprehensive knowledge of data security principles and data warehousing architectures for modern enterprises. Participants will learn to design secure data management systems and implement robust data warehouses that support business intelligence and analytics. The curriculum covers data security frameworks, access control mechanisms, encryption techniques, and data warehouse design methodologies. Through practical examples and case studies, learners will develop the skills to create secure, scalable data infrastructure that protects sensitive information while enabling analytical capabilities.
Data Management Security and Warehousing
Data Analytics and Business Intelligence
October 25, 2025
Introduction
Objectives
Key learning objectives include:
- Design and implement data security controls
- Develop data warehouse architecture
- Implement access control and authentication systems
- Apply encryption and data masking techniques
- Design dimensional models for data warehousing
- Manage data warehouse performance and optimization
- Implement data backup and recovery strategies
- Monitor and audit data access and usage
Target Audience
- Data architects and engineers
- Database administrators
- Security professionals and CISOs
- IT managers and infrastructure teams
- Data warehouse developers
- Business intelligence professionals
- Compliance and risk officers
Methodology
The course combines security principles with practical data warehouse implementation techniques. Participants work through scenarios designing secure data architectures and warehouse solutions. Case studies examine security breaches and successful warehouse implementations. Group activities focus on collaborative design exercises, while individual exercises build technical skills. Mini-case studies present specific security or warehousing challenges, and syndicate discussions explore solution approaches and industry best practices.
Personal Impact
- Enhanced ability to design secure data systems
- Improved skills in data warehouse architecture
- Stronger understanding of data protection techniques
- Increased proficiency with security controls
- Better problem-solving for data management challenges
- Developed ability to balance security and accessibility
Organizational Impact
- Enhanced protection of sensitive business data
- Improved compliance with data regulations
- Better foundation for business intelligence
- Reduced risk of data breaches and leaks
- Increased trust in data for decision-making
- Scalable data infrastructure for growth
Course Outline
Unit 1: Data Security Fundamentals
Security Principles- Data classification and categorization
- Security frameworks and standards
- Threat modeling and risk assessment
- Security policy development
Unit 2: Access Control and Authentication
Authorization Systems- Role-based access control (RBAC)
- Attribute-based access control (ABAC)
- Authentication mechanisms
- Privileged access management
Unit 3: Data Protection Techniques
Encryption Methods- Data encryption at rest and in transit
- Key management best practices
- Data masking and anonymization
- Tokenization techniques
Unit 4: Data Warehouse Architecture
Warehouse Design- Data warehouse concepts and benefits
- Architecture patterns (Kimball, Inmon)
- ETL/ELT process design
- Data warehouse infrastructure
Unit 5: Dimensional Modeling
Model Design- Star schema and snowflake schema
- Fact and dimension tables
- Slowly changing dimensions
- Data warehouse bus architecture
Unit 6: Implementation and Management
Operational Excellence- Performance tuning and optimization
- Data quality in data warehousing
- Backup and disaster recovery
- Monitoring and maintenance
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