Data Governance & Security Training Course: Secure & Compliant Data Management

Introduction

Fortify your organization's data infrastructure with our Data Governance and Security Training Course. This program is meticulously designed to equip you with the essential skills to implement data governance policies and ensure data security, safeguarding your valuable data assets. In today's regulatory landscape, mastering data governance and security is crucial for maintaining compliance and building trust. Our data governance training course provides hands-on experience and expert guidance, empowering you to establish robust data management practices.

This data security training delves into the core concepts of data governance, covering topics such as data quality, metadata management, and compliance. You'll gain expertise in implementing security measures to protect sensitive data, ensuring confidentiality, integrity, and availability. Whether you're a data governance professional, security analyst, or IT manager, this data governance and security course will empower you to build a secure and compliant data environment.

Target Audience:

• Data Governance Professionals
• Security Analysts
• IT Managers
• Compliance Officers
• Data Architects
• Database Administrators
• Anyone needing data governance and security skills

Course Objectives:

• Understand the fundamentals of data governance and security.
• Develop and implement comprehensive data governance policies.
• Ensure data quality and integrity through governance practices.
• Implement robust data security measures to protect sensitive information.
• Utilize metadata management for effective data discovery and control.
• Comply with data privacy regulations (GDPR, CCPA, etc.).
• Design and implement data access control and auditing.
• Utilize security tools and technologies for data protection.
• Troubleshoot and mitigate data security incidents.
• Integrate data governance and security into data workflows.
• Understand how to monitor and maintain data security and compliance.
• Explore advanced data governance and security frameworks.
• Apply real world use cases for data governance and security.

Duration

10 Days

Course content

Module 1: Introduction to Data Governance and Security

• Fundamentals of data governance and security.
• Overview of data governance frameworks and security standards.
• Setting up a data governance and security environment.
• Introduction to data governance and security tools.
• Best practices for data governance and security.

Module 2: Data Governance Policies and Frameworks

• Developing data governance policies and procedures.
• Implementing data ownership and stewardship.
• Utilizing data governance frameworks (DAMA-DMBOK, COBIT).
• Establishing data quality and compliance standards.
• Best practices for policy implementation.

Module 3: Data Quality and Integrity Management

• Implementing data quality checks and validation.
• Utilizing data profiling and data cleansing techniques.
• Implementing data reconciliation and auditing.
• Managing data errors and exceptions.
• Best practices for data quality.

Module 4: Data Security Principles and Practices

• Implementing data security measures and controls.
• Utilizing encryption and data masking.
• Implementing access control and authentication.
• Managing data security incidents and threats.
• Best practices for data security.

Module 5: Metadata Management and Data Discovery

• Implementing metadata management systems.
• Utilizing data catalogs and data dictionaries.
• Implementing data lineage and impact analysis.
• Managing data definitions and taxonomies.
• Best practices for metadata management.

Module 6: Data Privacy and Compliance

• Understanding data privacy regulations (GDPR, CCPA, etc.).
• Implementing data privacy compliance measures.
• Managing data subject access requests.
• Conducting data privacy impact assessments.
• Best practices for compliance.

Module 7: Data Access Control and Auditing

• Implementing role-based access control (RBAC).
• Utilizing data auditing and logging.
• Implementing data access monitoring and alerts.
• Managing data access permissions and privileges.
• Best practices for access control.

Module 8: Security Tools and Technologies

• Utilizing security information and event management (SIEM) tools.
• Implementing data loss prevention (DLP) solutions.
• Utilizing database security tools and technologies.
• Implementing vulnerability management and penetration testing.
• Best practices for security tools.

Module 9: Incident Response and Threat Mitigation

• Developing incident response plans.
• Conducting security incident investigations.
• Implementing threat mitigation strategies.
• Utilizing security automation and orchestration.
• Best practices for incident response.

Module 10: Integrating Data Governance and Security into Workflows

• Integrating data governance into data pipelines.
• Implementing security controls in data applications.
• Utilizing DevOps practices for data security.
• Building collaborative data governance and security environments.
• Best practices for integration.

Module 11: Monitoring and Maintenance

• Monitoring data security and compliance.
• Implementing security audits and assessments.
• Utilizing security monitoring tools and dashboards.
• Managing data governance and security policies.
• Best practices for monitoring and maintenance.

Module 12: Advanced Data Governance and Security Frameworks

• Utilizing ISO 27001 and NIST frameworks.
• Implementing data mesh governance.
• Utilizing AI and automation for data governance.
• Advanced techniques for data privacy.
• Best practices for advanced frameworks.

Module 13: Data Governance and Security in Cloud Environments

• Implementing data governance and security on cloud platforms.
• Utilizing cloud-based security services.
• Managing cloud resources for data governance.
• Best practices for cloud deployment.

Module 14: Data Governance and Security Auditing

• Conducting data governance and security audits.
• Utilizing audit tools and techniques.
• Implementing compliance reporting.
• Best practices for auditing.

Module 15: Future Trends in Data Governance and Security

• Emerging trends in data governance and security.
• Utilizing AI and automation in data governance.
• Implementing data fabric security.
• Best practices for future data governance and security.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.