Global Learning for Operational Leaders
Classroom
12 sessions
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Online / Live
12 sessions
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Introduction
Course overview
Data warehouses integrate data from many systems to support reporting and analytics. Good dimensional design makes data easy to understand, query and trust.
This Aractech course covers data warehouse concepts and architectures, dimensional modelling, facts and dimensions, slowly changing dimensions, ETL and ELT design, data quality, modern cloud warehouses and performance. Participants design a dimensional model for a business process.
What you will achieve
Learning objectives
- Explain data warehouse architectures
- Apply dimensional modelling techniques
- Design fact and dimension tables
- Handle slowly changing dimensions
- Design ETL and ELT processes
- Optimise and govern warehouses
Who should attend
Target audience
- BI developers
- Data engineers
- Data architects
- Database administrators
- Business analysts
- IT managers
Methodology
Learning approach
- Design workshops
- Modelling exercises
- Case studies
- Demonstrations
- Group reviews
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Data Warehouse Concepts
- Purpose of warehouses
- Architectures
- Data marts
- Cloud warehouses
- Coffee break
- Cloud warehouses (continued)
- Requirements
- Exercise: Requirements analysis
Day 2
Dimensional Modelling
- Business process modelling
- Grain
- Facts
- Dimensions
- Coffee break
- Dimensions (continued)
- Star and snowflake
- Workshop: Dimensional model
Day 3
Advanced Dimensions
- Slowly changing dimensions
- Conformed dimensions
- Hierarchies
- Coffee break
- Hierarchies (continued)
- Bridge tables
- Exercise: SCD design
Day 4
Data Integration
- ETL and ELT
- Staging
- Data quality
- Coffee break
- Data quality (continued)
- Orchestration
- Lab: Integration design
Day 5
Performance and Governance
- Indexing and partitioning
- Aggregations
- Metadata
- Coffee break
- Metadata (continued)
- Governance
- Capstone: Warehouse design
FAQ
Frequently asked questions
What does Data Warehouse Design and Dimensional Modelling (DMBI-025) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 18 - 22 January 2027. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
BI developers, Data engineers, Data architects
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Paris, Frankfurt, Barcelona, Rome, Kuala lumpur.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
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Choose an available date and venue, add your participants, and we will email a formal quotation for Data Warehouse Design and Dimensional Modelling to your business address.