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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?

 
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