Overview of Course

Dimensional Data Modeling is a critical component of Business Intelligence, and this training course from Skillzcafe will provide you with comprehensive knowledge and hands-on experience to design, develop, and implement a dimensional data model for your organization.

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Course Highlights

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Hands-on experience with data modeling tools and techniques

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Industry-relevant curriculum designed by experts

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Real-world examples 

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Skills You’ll Learn


The basics of dimensional modeling


Data warehouse architecture and design


The Kimball methodology


Advanced dimensional modeling techniques


Data modeling tools and techniques

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • Cardinalities

  • First normal form
  • Second normal form
  • Third normal form
  • Atomicity
  • Consistency
  • Integrity
  • Durability

  • What is a data model?
  • Characteristics of data model
  • Entity relation ships

  • 4 Phases of modeling
  • Entity types
  • Conceptual data model

  • Logical data model                                 

  • Physical data model                                    

  • Hands on OLTP Data Model Scenarios

  • Characteristics of data warehouse
  • ER model vs. dimensional modeling
  • Inmon vs. kimball

  • Industry specific models
  • Different types
  • Types of OLAP

  • Meta data management(MDM)
  • Business glossary

  • Dimension Tables                                   

  • Fact column types
  • Grain                                            

  • Bus architecture
  • Slowly growing dimensions
  • Slowly changing dimensions

  • Outrigger dimension
  • Hierarchies                   

  • Handling M X N relationship tables
  • Different types of fact tables

  • Drill across
  • Drill through
  • cross sell
  • Up sell
  • Summations
  • Aggregates
  • Modeling tools
  • Naming conventions & standards
  • Hands on erwin tool

  • Hands on Dimensional Modeling Scenarios                   
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