BI - Dimensional Modelling
After taking this class you will be able to:
-Create a solid dimensional model.
-Use best practices to create a model for common needs regardless of the BI tool or technology used.
-Identify future BI needs.
-Understand what BI has to offer and be prepared to work beyond BI.
About the Trainer Guil Carmargo
-BI and data warehouse consultant since 1999
-Microsoft Certified Trainer since 1995
-Data warehouse and BI experience on projects with companies including Potamkin Automotive, EasyJet, University of Oxford, and Toyota among others.
Course Outline
MODULE 1: Introduction to BI
What is BI
Beyond traditional architecture
BI Tools
Future BI
Lab 1: Explore a BI solution
MODULE 2: Dimensional Modelling
Measures
Dimensions (Attributes, Hierarchies)
Measure Types
Star - Snowflake
Lab 2: Create a dimensional model
MODULE 3: Facts
Grain
Types of facts
Fact-less facts
Lab 3: Identify grain and facts
MODULE 4: Dimensions
Keys and unknown values
Date and Time
Mini Dimensions
Dimension Types
Degenerate
Junk
Range
Self
Other Type
Lab 4: Design dimensions
MODULE 5: Enterprise Modelling
Master Data
Data Quality
Conformed Dimensions
Bus Matrix
Lab 5: Create an enterprise model
MODULE 6: Advanced Modelling
Slowly Changing Dimensions
Multiple facts
Many to many relationships
Bridge tables
Multi-value Dimensions
Lab 6: Work with multiple fact tables
MODULE 7: Beyond Dimensional Modelling
Help businesses make better decisions
Other data models
BI
Benchmarking
Optimization
Data Science
Innovation
Introduction to Creativity and Innovation
Lab 7: Innovate in BI
MODULE 8: How to innovate in BI
BI way of thinking
How to be creative and innovative
Creativity enhancing techniques
Lab 8: Innovate in BI
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