Data Management, Warehousing and Governance Training 2026
Duration: 5 Days
Location: Nairobi
Course Overview
Data is one of the most valuable assets an organization holds. But without the right systems, policies, and governance, it quickly becomes unreliable, inaccessible, or a compliance risk. This course teaches you how to manage data properly from the ground up.
You will learn how to design and implement data warehouse models, build governance frameworks, and maintain data quality across systems. The course covers data lifecycle management, ETL processes, dimensional modeling, metadata management, and how to align data practices with business intelligence and analytics goals.
Compliance is woven throughout the course. You will learn how to apply data protection standards including GDPR and the Data Protection Act, and how to set up accountability structures that keep your organization’s data practices audit-ready.
Course Objectives
By the end of this course, you will be able to:
- Understand the key components of effective data management.
- Design and implement data warehousing solutions.
- Apply data governance frameworks and organizational data policies.
- Ensure data quality, consistency, and security across systems.
- Align data practices with business intelligence and analytics goals.
- Support regulatory compliance and responsible data stewardship.
Who Should Attend
This course is for professionals who manage, store, or rely on data to support organizational decisions and compliance.
- Data Managers and Data Stewards
- ICT Officers and Database Administrators
- Systems Analysts and Data Architects
- Compliance Officers and Risk Managers
- Business Intelligence and Analytics Professionals
- Professionals Involved in Data Strategy, Storage, and Utilization
How the Training Works
The course combines expert instruction with hands-on design exercises and real-world data scenarios.
- Expert-led sessions and live demonstrations of data systems and tools.
- Data architecture design workshops.
- Governance framework development exercises.
- Case study analysis on data management challenges and solutions.
- Peer collaboration and best practice sharing sessions.
What You Will Walk Away With
After this course, you will have the skills to build and maintain data systems that are reliable, secure, and fit for purpose.
- The ability to design and implement data warehouse models for your organization.
- A working governance framework with clear data ownership and accountability structures.
- Practical techniques for data profiling, cleaning, and quality assurance.
- A clear understanding of GDPR, DPA, and other data compliance requirements.
- Skills to align data management with business intelligence and organizational strategy.
Course Modules
Module 1: Principles of Data Management
- Data lifecycle management from creation to disposal.
- Metadata, master data, and reference data explained.
- Roles and responsibilities in data stewardship.
Module 2: Designing and Implementing Data Warehousing
- Data warehousing concepts and architecture options.
- ETL (Extract, Transform, Load) processes and best practices.
- Dimensional modeling and star schema design.
Module 3: Data Governance Frameworks
- Data governance principles and maturity models.
- Developing and rolling out data governance policies.
- Data ownership, accountability structures, and stewardship roles.
Module 4: Data Quality and Compliance
- Data profiling and cleansing techniques.
- Ensuring accuracy, completeness, and timeliness of data.
- Compliance with GDPR, the Data Protection Act, and other standards.
Module 5: Business Intelligence and Strategic Use of Data
- Integrating data analytics and reporting into decision-making.
- Dashboards, KPIs, and decision support tools.
- Aligning data management strategy with organizational goals.
Course General Information
This course is delivered by qualified and experienced trainers with extensive expertise in their respective fields. Our training approach combines interactive theory sessions, hands-on practical activities, group work, and case studies, ensuring a dynamic and impactful learning experience.
Training Location
The sessions will be held at PROSPERAS SKILLS CENTER, Nairobi, Kenya. We also offer tailor-made group training at client-requested locations upon prior arrangement.
Certification
Upon successfully completing the training, participants will be awarded a certificate from PROSPERAS SKILLS CENTER.
Fees and Inclusions
Covers tuition, training materials, lunch, and venue. Accommodation and airport transfers can be arranged upon request.
Payment Details
Payment must be made to our bank account prior to the commencement of training. Please forward proof of payment to: trainings@prosperasskillscenter.com
For Further Inquiries
Contact us via email: trainings@prosperasskillscenter.com
Data Management, Warehousing and Governance Training 2026
| Start Date | End Date | Online Fee (USD) | In-Person Fee (USD) | Register |
|---|---|---|---|---|
| 17 Nov, 2025 | 21 Nov, 2025 | 1000 | 1500 | Enroll |
| 24 Nov, 2025 | 28 Nov, 2025 | 1000 | 1500 | Enroll |
| 01 Dec, 2025 | 05 Dec, 2025 | 1000 | 1500 | Enroll |
| 15 Dec, 2025 | 19 Dec, 2025 | 1000 | 1500 | Enroll |
| 05 Jan, 2026 | 09 Jan, 2026 | 1000 | 1500 | Enroll |
| 12 Jan, 2026 | 16 Jan, 2026 | 1000 | 1500 | Enroll |
| 19 Jan, 2026 | 23 Jan, 2026 | 1000 | 1500 | Enroll |
| 26 Jan, 2026 | 30 Jan, 2026 | 1000 | 1500 | Enroll |
| 02 Feb, 2026 | 06 Feb, 2026 | 1000 | 1500 | Enroll |
| 09 Feb, 2026 | 13 Feb, 2026 | 1000 | 1500 | Enroll |
| 23 Feb, 2026 | 27 Feb, 2026 | 1000 | 1500 | Enroll |
| 23 Feb, 2026 | 27 Feb, 2026 | 1000 | 1500 | Enroll |
| 02 Mar, 2026 | 06 Mar, 2026 | 1000 | 1500 | Enroll |
| 09 Mar, 2026 | 13 Mar, 2026 | 1000 | 1500 | Enroll |
| 23 Mar, 2026 | 27 Mar, 2026 | 1000 | 1500 | Enroll |
| 13 Apr, 2026 | 17 Apr, 2026 | 1000 | 1500 | Enroll |
| 20 Apr, 2026 | 24 Apr, 2026 | 1000 | 1500 | Enroll |
| 04 May, 2026 | 08 May, 2026 | 1000 | 1500 | Enroll |
| 11 May, 2026 | 15 May, 2026 | 1000 | 1500 | Enroll |
| 18 May, 2026 | 22 May, 2026 | 1000 | 1500 | Enroll |
| 08 Jun, 2026 | 12 Jun, 2026 | 1000 | 1500 | Enroll |
| 15 Jun, 2026 | 19 Jun, 2026 | 1000 | 1500 | Enroll |
| 22 Jun, 2026 | 26 Jun, 2026 | 1000 | 1500 | Enroll |
| 29 Jun, 2026 | 03 Jul, 2026 | 1000 | 1500 | Enroll |
| 06 Jul, 2026 | 10 Jul, 2026 | 1000 | 1500 | Enroll |
| 13 Jul, 2026 | 17 Jul, 2026 | 1000 | 1500 | Enroll |
| 20 Jul, 2026 | 24 Jul, 2026 | 1000 | 1500 | Enroll |
| 27 Jul, 2026 | 31 Jul, 2026 | 1000 | 1500 | Enroll |
| 03 Aug, 2026 | 07 Aug, 2026 | 1000 | 1500 | Enroll |
| 10 Aug, 2026 | 14 Aug, 2026 | 1000 | 1500 | Enroll |
| 17 Aug, 2026 | 21 Aug, 2026 | 1000 | 1500 | Enroll |
| 31 Aug, 2026 | 04 Sep, 2026 | 1000 | 1500 | Enroll |
| 07 Sep, 2026 | 11 Sep, 2026 | 1000 | 1500 | Enroll |
| 14 Sep, 2026 | 18 Sep, 2026 | 1000 | 1500 | Enroll |
| 21 Sep, 2026 | 25 Sep, 2026 | 1000 | 1500 | Enroll |
| 28 Sep, 2026 | 02 Oct, 2026 | 1000 | 1500 | Enroll |
| 12 Oct, 2026 | 16 Oct, 2026 | 1000 | 1500 | Enroll |
| 26 Oct, 2026 | 30 Oct, 2026 | 1000 | 1500 | Enroll |
| 02 Nov, 2026 | 06 Nov, 2026 | 1000 | 1500 | Enroll |
| 09 Nov, 2026 | 13 Nov, 2026 | 1000 | 1500 | Enroll |
| 16 Nov, 2026 | 20 Nov, 2026 | 1000 | 1500 | Enroll |
| 23 Nov, 2026 | 27 Nov, 2026 | 1000 | 1500 | Enroll |
| 30 Nov, 2026 | 04 Dec, 2026 | 1000 | 1500 | Enroll |
| 07 Dec, 2026 | 11 Dec, 2026 | 1000 | 1500 | Enroll |
| 14 Dec, 2026 | 18 Dec, 2026 | 1000 | 1500 | Enroll |
No upcoming sessions available at this time.