TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis, New Zealand

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The course begins with a comparison of relational and dimensional data organization and provides an example of business questions not readily answered using more traditional data structures of relational modeling. It then illustrates the steps to design analytic solutions, starting from business questions and concluding by demonstrating an OLAP solution. These steps encompass techniques to capture business questions, represent them as a business solution, translate them into a technology solution, and deliver them to those who need information.

There are no prerequisites for this course.

Data architects
Data mart developers
Business analysts
Business intelligence and data warehouse program and project managers

Concepts of dimensional data modeling
The relationship between business metrics and dimensional data
Similarities and differences between relational and dimensional data models
Requirements-gathering techniques for business metrics and dimensional data
How to build a logical dimensional model
How to translate a logical dimensional model to a star schema design
How dimensional data is used to deliver business analytics and OLAP capabilities

Module One

Dimensional Modeling Concepts

Dimensional Modeling in Context
- Business Intelligence Defined
- Data Warehousing Defined
- Data Mart Defined
Dimensional Modeling Basics
- Dimensional Model Defined
- Dimensional Modeling Defined
- Business Metrics and Measures Defined
- Business Metrics Examples
- Dimensional Data Models
Comparing E-R and Dimensional Models
- A Quick Review of E-R Modeling
- Introduction to Dimensional Models
- Relational with Additional Constraints
- A Basis for Comparison
- Relational for Transaction Processing
- Dimensional Data for Business Analysis
- Conformed Dimensions
Concepts Summary
- Review of Some Key Points

Module Two

Requirements Gathering for Dimensional Models

Business Context for Data Modeling
- Business Value
- Business Alignment
- Business Process Alignment
Business Questions as Requirements Models
- A Framework for Business Questions
- Examples
- Refining Business Questions
Fact/Qualifier Analysis
- From Business Questions to Data Requirements
- Mapping Business Questions
Requirements Gathering Summary
- Process Review

Module Three

Logical Dimensional Data Modeling

·Modeling Meters and Measures
- A Group of Related Business Measures

Modeling Dimensions

Adding Dimensions from Qualifiers
Dimension Hierarchy
Refining the Dimensions
Completing the Dimensions
More about Meters and Measures
- Granularity and the Meter
- Granularity and the Measures
- Completing the Meter
Model Verification
- Testing the Model

Logical Modeling Summary

Process Review

Module Four

From Logical Model to Star Schema

Star Schema Dimensions
- Naming the Dimensions
- Modeling Dimension Tables
- Defining Dimension Table Keys
Star Schema Fact Tables
- Modeling the Fact Table
- Defining the Fact Table Key
- Supporting Calculated Measures
- Semi-Additive and Non-Additive Facts
Star Schema Design Challenges
- Slowly Changing Dimensions
- Degenerate Dimensions
- Junk Dimensions
- Difficult Situations
Modeling Process Summary
- From Business Requirements to Star Schema

Module Five

Dimensional Data and Business Analysis

Delivering Business Value
- Data Enabled Business Analysis
- Collecting, Analyzing, and Using Business Metrics
Effective Dimensional Modeling
- Critical Success Factors
- Mistakes to Avoid
- References and Learning Resources

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

04 August 2024