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Data Modeling & Dimensional Modeling
Datawarehousing Training Course duration

4 Days

Datawarehousing Training Course outline

Data Modeling

1. Concepts & architecture
  • Introduction to DB Model Development
  • When to perform Data Modeling Task
  • Problem Analysis & Scope
  • Entity – Relationship Diagram or Model
  • Basic Construct of E-R Modeling
  • Understanding Entities, Attributes and Relations
  • Normalization
  • DB Architectural Model (E-R Notations)
  • Enterprise views on Data Modeling
  • Introduction to the Modeling Tools
2. Development life cycle
  • Gathering Business Requirements
  • Initial Design Phase (CDM )
  • Logical Design phase (LDM)
  • Physical Design phase (PDM)
  • Database Script
  • Database Creation and Maintenance
3. Conceptual Data Model
  • What is CDM & its Overview
  • Outline or Blue print for Database Design
  • Advantages of CDM
4. Logical Data Model
  • Overview
  • Design Framework
  • Defining entities, Attributes, Key Groups & Relationships
  • Defining the Business Process
5. Physical Data Model
  • Overview
  • Generating Script
  • Generating tables, Columns, Relationships and its properties
  • Applying Normalization Rule
  • Logical vs Physical Models
6. Steps In Building the Data Model
  • Identification of data objects and relationships
  • Drafting the initial ER diagram with entities and relationships
  • Refining the ER diagram
  • Add key attributes to the diagram
  • Adding non-key attributes
  • Diagramming Generalization Hierarchies
  • Validating the model through normalization
  • Adding business and integrity rules to the Model
7. Entities
  • What is an Entity?
  • Identifying Entity
  • Types of Entities
  • Naming Entities
  • Describing Entities
  • Identifying & Applying Key Columns
  • Common Modeling mistakes with Entities & Keys
8. Attributes
  • What is an Attribute?
  • Analyzing & Defining Attribute Characteristic
  • Naming Attributes
  • Describing Attributes
  • Common Mistakes with Attributes
9. Understanding Relationship between Objects
  • What is a Relationship?
  • Relationship types
  • Dependency & Non-dependency
  • Relationship Cardinality
  • Developing Schema
  • Common Mistakes
10. Normalization Rules
  • Basic Concepts
  • Overview
  • Apply Normalization on the Model
  • Functional Dependency
  • First Normal Form
  • Second Normal Form
  • Third Normal Form
  • Boyce-Codd Normal Form
  • Forth Normal Form
  • Fifth Normal Form
Dimensional Modeling

1. Concepts & architecture
  • Overview
  • Defining Dimensional Model
  • What makes differ from the Data Model?
  • Uses of Dimensional Data Model
  • Dimensional Model Frame work/Architecture
  • Dimensional Model types
  • Dimensional Schema types
2. De-Normalization
  • What is a De-normalize? Overview
  • Why to De-normalize?
  • What supports De-normalize?
  • How it is useful in the Business Analysis?
3. OLAP Architecture
  • Overview
  • Theory of Analysis
  • Multi-dimensional architectural Support
  • Creation of Cubes
  • Multi-Dimensional Reports
4. Facts and Dimension tables
  • Different types of tables
  • What is a Dimension table?
  • What is a Fact table?
  • Creating Dimension table
  • Create Fact table
  • What is a slowly changing Dimension?
  • Where & When SCD is used
5. Schema and it’s types
  • Overview
  • What is a schema?
  • Schema Rules
  • Different types of Schema
  • What is a Star Schema?
  • What is a Star Snowflake Schema?
6. Difference between Data Model and Dimensional Model

7. Why we need different models for database and data warehouse?

Please contact your training representative for more details on having this course delivered onsite or online

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