15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Data Governance Professionals
- Security Analysts
- IT Managers
- Compliance Officers
- Data Architects
- Database Administrators
- Anyone needing data governance and security skills
Session 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.
About the Course
Safeguard strategic enterprise assets and maintain regulatory compliance with our Data Governance and Security Training Course. Tailored for data governance managers, security analysts, and IT infrastructure leads, this hands-on program equips you to establish robust data stewardship and access frameworks across modern data architecture. Guided by security and compliance experts, you will master enterprise metadata management, data quality control, fine-grained access policies, and data classification—enabling your organization to enforce confidentiality, integrity, and availability (CIA) while upholding strict data compliance standards.
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
Fundamentals of data governance and security.
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Subtopic 1.2:
Overview of data governance frameworks and security standards.
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Subtopic 1.3:
Setting up a data governance and security environment.
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Subtopic 1.4:
Introduction to data governance and security tools.
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Subtopic 1.5:
Best practices for data governance and security.
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Subtopic 2.1:
Developing data governance policies and procedures.
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Subtopic 2.2:
Implementing data ownership and stewardship.
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Subtopic 2.3:
Utilizing data governance frameworks (DAMA-DMBOK, COBIT).
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Subtopic 2.4:
Establishing data quality and compliance standards.
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Subtopic 2.5:
Best practices for policy implementation.
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Subtopic 3.1:
Implementing data quality checks and validation.
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Subtopic 3.2:
Utilizing data profiling and data cleansing techniques.
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Subtopic 3.3:
Implementing data reconciliation and auditing.
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Subtopic 3.4:
Managing data errors and exceptions.
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Subtopic 3.5:
Best practices for data quality.
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Subtopic 4.1:
Implementing data security measures and controls.
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Subtopic 4.2:
Utilizing encryption and data masking.
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Subtopic 4.3:
Implementing access control and authentication.
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Subtopic 4.4:
Managing data security incidents and threats.
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Subtopic 4.5:
Best practices for data security.
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Subtopic 5.1:
Implementing metadata management systems.
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Subtopic 5.2:
Utilizing data catalogs and data dictionaries.
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Subtopic 5.3:
Implementing data lineage and impact analysis.
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Subtopic 5.4:
Managing data definitions and taxonomies.
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Subtopic 5.5:
Best practices for metadata management.
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Subtopic 6.1:
Understanding data privacy regulations (GDPR, CCPA, etc.).
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Subtopic 6.2:
Implementing data privacy compliance measures.
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Subtopic 6.3:
Managing data subject access requests.
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Subtopic 6.4:
Conducting data privacy impact assessments.
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Subtopic 6.5:
Best practices for compliance.
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Subtopic 7.1:
Implementing role-based access control (RBAC).
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Subtopic 7.2:
Utilizing data auditing and logging.
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Subtopic 7.3:
Implementing data access monitoring and alerts.
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Subtopic 7.4:
Managing data access permissions and privileges.
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Subtopic 7.5:
Best practices for access control.
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Subtopic 8.1:
Utilizing security information and event management (SIEM) tools.
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Subtopic 8.2:
Implementing data loss prevention (DLP) solutions.
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Subtopic 8.3:
Utilizing database security tools and technologies.
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Subtopic 8.4:
Implementing vulnerability management and penetration testing.
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Subtopic 8.5:
Best practices for security tools.
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Subtopic 9.1:
Developing incident response plans.
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Subtopic 9.2:
Conducting security incident investigations.
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Subtopic 9.3:
Implementing threat mitigation strategies.
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Subtopic 9.4:
Utilizing security automation and orchestration.
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Subtopic 9.5:
Best practices for incident response.
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Subtopic 10.1:
Integrating data governance into data pipelines.
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Subtopic 10.2:
Implementing security controls in data applications.
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Subtopic 10.3:
Utilizing DevOps practices for data security.
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Subtopic 10.4:
Building collaborative data governance and security environments.
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Subtopic 10.5:
Best practices for integration.
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Subtopic 11.1:
Monitoring data security and compliance.
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Subtopic 11.2:
Implementing security audits and assessments.
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Subtopic 11.3:
Utilizing security monitoring tools and dashboards.
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Subtopic 11.4:
Managing data governance and security policies.
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Subtopic 11.5:
Best practices for monitoring and maintenance.
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Subtopic 12.1:
Utilizing ISO 27001 and NIST frameworks.
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Subtopic 12.2:
Implementing data mesh governance.
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Subtopic 12.3:
Utilizing AI and automation for data governance.
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Subtopic 12.4:
Advanced techniques for data privacy.
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Subtopic 12.5:
Best practices for advanced frameworks.
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Subtopic 13.1:
Implementing data governance and security on cloud platforms.
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Subtopic 13.2:
Utilizing cloud-based security services.
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Subtopic 13.3:
Managing cloud resources for data governance.
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Subtopic 13.4:
Best practices for cloud deployment.
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Subtopic 14.1:
Conducting data governance and security audits.
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Subtopic 14.2:
Utilizing audit tools and techniques.
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Subtopic 14.3:
Implementing compliance reporting.
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Subtopic 14.4:
Best practices for auditing.
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Subtopic 15.1:
Emerging trends in data governance and security.
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Subtopic 15.2:
Utilizing AI and automation in data governance.
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Subtopic 15.3:
Implementing data fabric security.
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Subtopic 15.4:
Best practices for future data governance and security.
