Data
Administration and Security in Information Systems
1.
Introduction
In the digital age, data is one of the most
valuable assets for organizations. Effective data administration ensures
accurate, consistent, and reliable information, while data security
protects sensitive information from breaches, unauthorized access, and cyber
threats. This course provides participants with the expertise to manage data
efficiently, implement robust security measures, and comply with data
governance policies.
Participants will gain practical skills in database
management, data protection, access control, and security strategies critical
to safeguarding organizational data.
2. Course
Objectives
By the end of this course, participants will be
able to:
- Understand
the principles of data administration and management.
- Design
and maintain secure databases and information systems.
- Implement
policies and procedures for data governance and compliance.
- Apply
data security techniques to prevent unauthorized access and data breaches.
- Monitor
and audit data usage and system activities.
- Manage
user access and privileges effectively.
- Analyze
and mitigate risks associated with information systems.
- Stay
updated on best practices, standards, and emerging trends in data
administration and security.
3.
Targeted Group
This course is suitable for:
- Database
Administrators (DBAs)
- IT
Security Professionals
- System
Administrators and Network Administrators
- Business
Analysts and Data Managers
- Software
Developers and IT Auditors
- Professionals
responsible for managing and securing organizational data
- Students
and professionals seeking specialization in data administration and
security
4. Course
Duration
Total
Duration: 4 weeks
(96 contact hours)
Delivery Options:
- Instructor-led
classroom sessions
- Live
online interactive training
- Hands-on
labs and project simulations
5.
Training Methodology
- Interactive
lectures and discussions on data management principles
- Practical
exercises using database management systems (DBMS)
- Case
studies on real-world data breaches and security implementations
- Hands-on
workshops for configuring secure systems and user access
- Group
projects simulating enterprise data administration challenges
- Quizzes
and assessments to reinforce learning
- Capstone
project integrating administration and security concepts
6. Course
Content
Module 1:
Introduction to Data Administration
- Role
and responsibilities of data administrators
- Data
lifecycle management
- Key
concepts in data management
Module 2:
Database Fundamentals
- Overview
of relational and non-relational databases
- Tables,
records, and data types
- Database
design principles
Module 3:
Advanced Database Design
- Normalization
and denormalization
- Entity-Relationship
(ER) modeling
- Referential
integrity and constraints
Module 4:
Data Governance and Policies
- Importance
of data governance
- Policies,
standards, and procedures
- Compliance
with regulations (GDPR, HIPAA, etc.)
Module 5:
Data Security Fundamentals
- Confidentiality,
integrity, and availability (CIA triad)
- Threats,
vulnerabilities, and risk assessment
- Security
frameworks and standards
Module 6:
User Access Management
- Authentication
and authorization techniques
- Role-based
access control (RBAC)
- Managing
privileges and permissions
Module 7:
Data Encryption and Protection
- Symmetric
and asymmetric encryption
- Data
masking and tokenization
- Securing
data in transit and at rest
Module 8:
Backup and Recovery Strategies
- Backup
types and policies
- Disaster
recovery planning
- Data
restoration and business continuity
Module 9:
Database Monitoring and Auditing
- Performance
monitoring and tuning
- Auditing
user activities and system changes
- Detecting
anomalies and unauthorized access
Module
10: Data Quality Management
- Data
validation and cleaning techniques
- Ensuring
data consistency and accuracy
- Tools
for data quality management
Module
11: Network Security for Databases
- Firewalls,
VPNs, and intrusion detection systems
- Securing
database connections
- Preventing
network-based attacks
Module
12: Application Security in Information Systems
- Secure
coding practices
- Vulnerability
assessment and penetration testing
- Protecting
data through secure applications
Module
13: Cloud Data Administration and Security
- Cloud
database concepts and deployment models
- Security
considerations for cloud-hosted data
- Compliance
and risk management in cloud environments
Module
14: Emerging Trends in Data Security
- AI
and machine learning for threat detection
- Blockchain
for data integrity
- Zero
trust security model
Module
15: Incident Response and Data Breach Management
- Detecting,
reporting, and responding to breaches
- Containment,
eradication, and recovery strategies
- Post-incident
analysis and lessons learned
Module
16: Capstone Project and Practical Application
- Real-world
project combining data administration and security
- Configuring
a secure database system with access controls
- Monitoring,
auditing, and reporting system activities
- Presentation
and review by instructors
7.
Expected Outcomes
Participants who complete this course will be able
to:
- Administer
and manage databases effectively for enterprises.
- Implement
robust data security measures and policies.
- Ensure
compliance with regulatory and organizational standards.
- Monitor
and audit data access and system activities.
- Prevent,
detect, and respond to data security incidents.
- Optimize
database performance while maintaining security standards.
- Apply
best practices in data governance and quality management.
- Demonstrate
hands-on expertise through a comprehensive capstone project.
8.
Certificate of Completion
Participants who attend all modules, complete
hands-on exercises, and successfully deliver the capstone project will receive:
🎓 Certificate of Completion –
Data Administration and Security in Information Systems
Issued by: FOTADE Training, Research and Resource Development Centre
This certificate validates the participant’s
capability to manage, secure, and optimize data and information systems in
professional environments.
