Modeling a Business Intelligence System
Reference : BI-MOD-05
Price : Contact us
Level & Prerequisites :
Duration : 2 days
Basic understanding of databases and data concepts
Familiarity with Business Intelligence principles is recommended
Description
This course provides a practical and structured approach to modeling Business Intelligence (BI) systems. Participants will learn how to design robust data models that support analytics, reporting, and decision‑making across the organization. The training covers conceptual, logical, and physical modeling, with a strong focus on dimensional modeling techniques widely used in modern BI environments. Through hands‑on exercises and real‑world examples, learners will gain the skills needed to build efficient, scalable, and business‑oriented BI models.
Public
BI developers and data modelers
Data analysts and business analysts
Data engineers and ETL developers
IT architects and technical project managers
Anyone involved in designing or maintaining BI systems
Course objectives
Understand the principles and purpose of BI system modeling.
Distinguish between conceptual, logical, and physical data models.
Apply dimensional modeling techniques (star schema, snowflake schema).
Identify and design fact tables, dimension tables, and hierarchies.
Model data to support KPIs, dashboards, and analytical queries.
Understand normalization vs. denormalization in BI contexts.
Evaluate modeling choices based on performance, scalability, and business needs.
Implement best practices for building maintainable BI models.
Content
Module 1 — Introduction to BI Modeling
Module 2 — Dimensional Modeling Fundamentals
Module 3 — Designing Fact Tables
Module 4 — Designing Dimension Tables
Module 5 — Advanced Modeling Techniques
Module 6 — Performance & Optimization
Module 7 — Modeling for Modern BI Architectures
Module 8 — Practical Workshops