Overview of Course

Data modeling is the process of creating a visual representation of data in order to better understand it. Our Data Modeling Training course will teach you how to create effective data models, which will help you make informed decisions and improve the overall efficiency of your organization.

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Course Highlights

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Learn the fundamentals of data modeling

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Understand database design and implementation

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Gain practical experience with hands-on exercises

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Skills You’ll Learn


Understand the basics of data modeling


Create effective data models


Design and implement databases


Use advanced data modeling techniques


Collaborate effectively with other professionals

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


  • What is a Data Modeling?
  • Perquisites for becoming a Data Modeler
  • Data Modeler Duties and Responsibilities.
  • Data Modeler vs Governance
  • Who Needs Data Modeling.
  • Essence of Data Modeling in an Organization.

  • Understanding the Business Process
  • Identify the Grain
  • Identify the Dimensions
  • Identify the Facts

  • IDEFIX Methodology
  • IE Methodology

  • Star Schema
  • Snowflake Schema

  • Conceptual Data Models
  • Logical Data Models
  • Physical Data Models
  • Difference between Logical Data Model and Physical Data Model.
  • Relational Data Models
  • Dimensional Data Models
  • Enterprise Data Model 
  • Data Modeling Development Life Cycle.

  • Junk Dimension
  • Confirmed Dimension
  • Degenerate Dimension
  • Role Playing Dimension
  • Type 0 Dimension
  • Type 1 Dimension
  • Type 2 (Slowly Changing Dimensions)
  • Type 3 Dimension
  • Type 4 Dimension
  • Type 5 Dimension
  • Type 6 Dimension
  • Type 7 Dimension

  • Additive Facts
  • Non Additive Facts
  • Semi Additive Facts

  • Transaction Fact Tables
  • Periodic Fact Tables
  • Accumulation Fact Tables

  • One to one Relationship
  • One to Many Relationship
  • Many to Many Relationship
  • Resolving Many to Many Relationship
  • Self-Relational Integrity Relationship
  • Normalization Process  - 1NF, 2NF, 3NF
  • Super type and subtype 
  • Exclusive subtypes
  • Inclusive Subtypes
  • Identifying and Non-Identifying.( Mandatory , Non Mandatory)
  • Weak Entities
  • Strong Entities
  • Associative Entities
  • Transaction Tables
  • Classification Table

  • Naming Standards of Objects( Tables, Attributes, Data Types)
  • Abbreviating Column Names
  • Abbreviation Table Names
  • Description of Column 
  • Description of Table
  • Consistency in Column Names

  • Parent and Child Hierarchy
  • Balanced Hierarchy
  • Unbalanced Hierarchy
  • Ragged Hierarchy
  • Static Hierarchy
  • Dynamic Hierarchy

  • Forward Engineering
  • Reverse Engineering
  • Subject Areas
  • Comparison of Data Models
  • Mapping Documents.
  • Versioning of Data Models

Table Level Reports
Model Level Reports
Subject area Level Reports
XML, PDF, XLS, CSV reports.

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