Dimensional modelling is a core component of modern business intelligence solutions, providing the foundation for effective reporting, analytics, and decision-making. This two-day instructor-led course introduces the principles of dimensional modelling and explains how it supports data warehouses and data marts.

Designed for learners with no previous experience of dimensional modelling, the course explores data warehousing concepts, analytical requirements gathering, dimensional design techniques, and physical implementation considerations. You will learn how to design fact and dimension tables, understand modern data movement approaches, and explore how online analytical processing (OLAP) technologies support analytical workloads.

This course is vendor and product independent, allowing learners to apply the concepts across a wide range of business intelligence platforms.

Prerequisites

There are no formal prerequisites for this course. A basic understanding of business intelligence or data concepts may be beneficial but is not required.

Target audience

This course is designed for:

Business analysts responsible for gathering analytical requirements and designing dimensional models
Data professionals working with business intelligence and analytics solutions
IT professionals responsible for implementing dimensional models and OLAP solutions
Anyone looking to build a strong foundation in dimensional modelling and data warehouse design

We can organize this training at your preferred date and location. Contact Us!

What You Will Learn

By the end of this course, learners will be able to:

Describe data warehousing concepts and the role of dimensional modelling
Explain the process of gathering analytical requirements for dimensional models
Distinguish between facts, measures, and dimensions when designing analytical solutions
Design dimensional models using industry-recognised modelling techniques
Describe the physical implementation of dimensional models
Explain how OLAP technologies support analytical reporting and business intelligence

Training Outline

Introduction to data

Understand the role of data in business intelligence
Compare online transaction processing and online analytical processing
Explore the principles of data warehouse design
Understand the fundamentals of dimensional modelling
Explain cardinality and data grain

Introduction to modelling

Gather analytical business requirements
Explore conceptual, logical, and physical modelling approaches
Understand facts and dimensions
Compare star and snowflake schemas
Explore relationships between fact and dimension tables
Consider security requirements within dimensional models

Designing dimension tables

Design attributes and hierarchies
Understand business keys and surrogate keys
Create conformed dimensions
Design time dimensions
Implement role-playing dimensions
Explore slowly changing and rapidly changing dimensions

Designing fact tables

Define facts and measures
Compare different types of measures
Understand additive, semi-additive, and non-additive measures
Explore different fact table designs
Understand the role of foreign keys

Advanced dimension techniques

Design degenerate dimensions
Explore parent-child dimensions
Understand bridge tables
Apply snowflaking where appropriate
Explore synonym dimensions
Design mini dimensions
Understand hot-swappable dimensions
Explore multi-valued dimensions
Understand bitmap dimensions
Design junk dimensions
Explore step dimensions
Perform first and last analysis

Data movement

Introduce extract, transform, and load processes
Understand staging areas
Explore the medallion architecture
Apply data transformation and cleansing techniques
Understand how metadata supports data quality and governance

Physical storage and aggregation

Understand aggregation storage techniques
Explore table partitioning
Select appropriate data types
Understand index design considerations
Explore compression techniques
Design aggregations for analytical performance
Compare multidimensional, relational, and hybrid OLAP approaches
Understand modern OLAP terminology
Optimise fact table performance
Apply indexing strategies within star schemas

Common dimensional modelling mistakes

Review the twelve most common dimensional modelling mistakes
Identify approaches for avoiding common design issues

Exams and assessments

There are no formal exams included in this course. Learners reinforce their understanding through instructor-led discussions and practical activities delivered throughout the course.

Hands-on learning

This course includes:

Scenario-based exercises to apply dimensional modelling concepts
Guided discussions based on real-world business intelligence scenarios
Practical activities covering dimensional design techniques and analytical modelling

Why Choose Us

Experience Dimensional Modelling through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
Flexible and Scalable Delivery: Access live virtual classrooms worldwide with flexible planning options for individual and corporate training needs.

Experience Dimensional Modelling in a focused classroom environment designed for high engagement and effective learning. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Dimensional Modelling solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+