About
Data Warehousing and Business Intelligence (BI) are foundational pillars of enterprise analytics and strategic data use. This Focused Course is aligned with the globally recognised DAMA Data Management Body of Knowledge (DAMA-DMBOK®) and is designed specifically to prepare participants for the DAMA International 32567 Data Warehousing and Business Intelligence certification exam.
This course provides a comprehensive overview of the key principles, architectures, and techniques used to design, build, and manage data warehouse environments and business intelligence systems. Learners will gain hands-on understanding of core concepts including dimensional modelling, ETL processes, data visualisation, and performance optimisation—as well as insights into cloud-native platforms, big data integration, and real-time analytics.
By the end of the course, participants will be confident in applying DAMA best practices and will be fully prepared to sit the 32567 DW/BI certification exam.
Where is this course available?
This course is available In-Person in Doha, Qatar, Dubai, Abu Dhabi in UAE & Riyadh in Saudi Arabia, Muscat in Oman and Amman in Jordan as well as being available Online Worldwide.
Learning Objectives
By the end of this course, participants will be able to:
Understand the role of data warehousing and BI within the DAMA-DMBOK® framework
Design and evaluate data warehouse architectures, including cloud-based and hybrid models
Apply dimensional modelling principles (star/snowflake schemas, fact/dimension tables, SCDs)
Implement effective ETL and data integration processes to support BI
Select and apply BI tools to create insightful dashboards, visualisations, and self-service analytics
Optimise performance, scalability, and availability of data warehouse environments
Integrate governance, security, and compliance into DW/BI practices
Prepare effectively for the DAMA International 32567 Specialist Exam in Data Warehousing and Business Intelligence
Who Is This DAMA Data Warehousing and Business Intelligence Training Course For?
This course is ideal for professionals involved in data warehousing, reporting, analytics, or enterprise architecture who want to formalise their knowledge or earn certification.
Roles:
Business Intelligence Analysts and Developers
Data Engineers and Warehouse Architects
Data Governance and Quality Professionals
Analytics and Reporting Leads
Enterprise/Solution Architects
CDMP® candidates seeking specialist certification in DW/BI
Industries:
Financial Services
Retail and E-Commerce
Healthcare and Pharmaceuticals
Public Sector and Government
Telecommunications
Energy and Utilities
Logistics and Supply Chain
Why Should You Take This DAMA Data Warehousing & BI Course?
Exam-aligned learning: Specifically prepares you for the DAMA 32567 DW/BI Specialist Certification
Comprehensive coverage: From architecture and modelling to cloud warehousing, analytics, and performance
Practical and conceptual: Learn how to apply best practices in real-world business intelligence environments
Bridges classic and modern approaches: Includes Inmon and Kimball models as well as big data, real-time, and self-service BI
Strategic capability: Learn how to connect governance, metadata, and quality into your DW/BI operations
Prerequisites
There are no formal prerequisites to take this training course.
However, this course is best suited to learners who:
Have a basic understanding of databases or data management concepts
Have experience working with data projects, reporting tools, or analytics environments
Are preparing for CDMP® certification and seeking to specialise in Data Warehousing and Business Intelligence
Please note that MENA Executive Training is an independent training provider and is not affiliated with or endorsed by DAMA International. This course is intended solely to help participants prepare for the DAMA International certification examination.
Modules

Module 1 : Identifying Security Compliance Measures
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Identify Organizational Compliance Requirements and Resources
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Identify Legal Compliance Requirements and Resources

Module 2 : Recognizing and Addressing Social Engineering Attack
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Identify Organizational Compliance Requirements and Resources
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Identify Legal Compliance Requirements and Resources

Module 3 : Securing Devices
Identify Organizational Compliance Requirements and Resources
Identify Legal Compliance Requirements and Resources

Module 4 : Using the Internet Securely
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Identify Organizational Compliance Requirements and Resources
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Identify Legal Compliance Requirements and Resources


Receive an Official ISACA Certificate

Receive a LinkedIn Badge
Gain a Certificate After Completion
Highlight your achievement by adding this credential to your LinkedIn profile, CV, or résumé. Your digital certificate will be awarded upon successful completion of the programme, giving you a recognised credential to share with employers, colleagues, and clients.


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Exam Details
This training course fully prepares you for the DAMA International 32567 – Data Warehousing & Business Intelligence Specialist Exam
The 32567 exam is a recognised specialist-level certification offered by DAMA International as part of its Certified Data Management Professional (CDMP®) programme.
This exam validates a candidate’s expertise in the principles, architecture, and practices of data warehousing and business intelligence, as outlined in the DAMA-DMBOK2 framework.
Exam Overview
Exam Code: 32567
Certification Track: CDMP® Specialist – Data Warehousing & Business Intelligence
Exam Format: Multiple-choice questions
Number of Questions: 40
Duration: 90 minutes
Passing Score: 70%
Question Style:
Based on DAMA-DMBOK2 content
Includes definitions, real-world application, frameworks, roles, architectures, and tool usage
Covers both conceptual understanding and practical implementation
Difficulty Distribution:
~60% Associate level (fundamentals and principles)
~20% Practitioner level (practical application and solution design)
~20% Master level (strategy, integration, and governance alignment)
Key Topics Covered
Data warehouse architecture and design (Inmon and Kimball models)
Dimensional modelling (star/snowflake schemas, fact and dimension tables)
ETL and data integration strategies
Business Intelligence tools and reporting techniques
Cloud-based warehousing and modern platforms
Performance optimisation and query tuning
Real-time analytics, big data integration, and data lakes
Data governance, metadata, and security in BI environments
Course Study Options
In-Person Training
12 Locations in Middle East. View

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