Data Modelling Online Training

MKTraining’s Institute  provides best Data Modelling training by our Highly Professional Trainers. Data modelling is often the first step in database design and object-oriented programming as the designers first create a conceptual model of how data items relate to each other. Data modeling involves a progression from conceptual model to logical model to physical schema.We are delighted to be one of the best leading IT online training with best experienced IT professionals and skilled resources. We have been offering courses to consultants, companies so that they can meet all the challenges in their respective technologies.

Highlights of Data Modelling Online training:-

* Very in depth course material with Real Time Scenarios for each topic with its Solutions for Data Modelling Online Trainings.

* Our institute provide Case studies for Data Modelling Training.

* We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts.

* We provide you with your recorded session for further Reference.

* Normal Track, Fast Track and Weekend Batches are also provided for Data Modelling Training.

* We also provide Cost Effective and Flexible Payment Schemes.


Data Modelling  Course Content


Data Modelling: An Overview

✔Data Model Defined

✔What Is a Data Model?

✔Why Data Modeling?

✔Who Performs Data Modeling?

✔Conceptual Data Modeling

✔Data Model Components

✔Data Modeling Steps

✔Data Model Quality

✔Significance of Data Model Quality

✔Data Model Characteristics

✔Ensuring Data Model Quality

✔Data System Development

✔Data System Development Life Cycle

✔Roles and Responsibilities

✔Modeling the Information Requirements

✔Applying Agile Modeling Principles

✔Data Modeling Approaches and Trends

✔Data Modeling Approaches

✔Modeling for Data Warehouse


Methods,Techniques and Symbols

✔Data Modeling Approaches

✔Semantic Modeling

✔Relational Modeling

✔Entity-Relationship Modeling

✔Methods and Techniques


Data modeling Fundamentals

Anatomy of a Data Model

✔Data Model Composition

✔Models at Different Levels

✔Conceptual Model: Review Procedure

✔Conceptual Model: Identifying Components

✔Creation of Models

✔Entity Types

✔Specialization Generalization




✔Review of the Model Diagram

✔Logical Model: Overview

✔Model Components

✔Transformation Steps

✔Relational Model

✔Physical Model: Overview

✔Model Components

✔Transformation Steps


Entities In Details

✔Entity Types or Object Sets

✔Comprehensive Definition

✔Identifying Entity Types

✔Generalization and Specialization

✔Why Generalize or Specialize?

✔Supertypes and Subtypes

✔Generalization Hierarchy

✔Recursive Structures

✔Conceptual and Physical

✔Modeling Time Dimension


✔Entity Validation Checklist




Attributes and identifiers in Detail


✔Properties or Characteristics

✔Attributes as Data

✔Attribute Values

✔Names and Descriptions

✔Attribute Domains

✔Definition of a Domain

✔Domain Information

✔Attribute Values and Domains

✔Value Set



✔Null Values

✔Types of Attributes

✔Single-Valued and Multivalued Attributes

✔Simple and Composite Attributes

✔Attributes with Stored and Derived Values

✔Identifiers or Keys

✔Need for Identifiers

✔Definitions of Keys


Relationships In Detail



✔Relationship: Two-Sided

✔Relationship Sets

✔Double Relationships

✔Relationship Attributes

✔Degree of Relationships

✔Unary Relationship

✔Binary Relationship

✔Ternary Relationship

✔Quaternary Relationship

✔Structural Constraints

✔Cardinality Constraint

✔Participation Constraint


✔Entity Existence

✔Relationship Types

✔Identifying Relationship

✔Nonidentifying Relationship

✔Maximum and Minimum Cardinalities

✔Mandatory Conditions: Both Ends

✔Optional Condition: One End

✔Optional Condition: Other End

✔Optional Conditions: Both Ends

✔Special Cases



✔Access Pathways

✔Design Issues

✔Relationship or Entity Type?

✔Ternary Relationship or Aggregation?

✔Binary or N-ary Relationship?

✔One-to-One Relationships

✔One-to-Many Relationships

✔Circular Structures

✔Redundant Relationships

✔Multiple Relationships

✔Relationship Validation Checklist




Data Normalization

✔Informal Design

✔Forming Relations from Requirements

✔Potential Problems

✔Update Anomaly

✔Deletion Anomaly

✔Addition Anomaly

✔Normalization Methodology

✔Strengths of the Method

✔Application of the Method

✔Normalization Steps

✔Fundamental Normal Forms

✔First Normal Form

✔Second Normal Form

✔Third Normal Form

✔Boyce-Codd Normal Form

✔Higher Normal Forms

✔Fourth Normal Form

✔Fifth Normal Form

✔Domain-Key Normal Form

✔Normalization Summary

✔Review of the Steps

✔Normalization as Verification


Modeling for Data warehouse

✔Decision-Support Systems

✔Need for Strategic Information

✔History of Decision-Support Systems

✔Operational Versus Informational Systems

✔System Types and Modeling Methods

✔Data Warehouse

✔Data Warehouse Defined

✔Major Components

✔Data Warehousing Applications

✔Modeling: Special Requirements

✔Dimensional Modeling

✔Dimensional Modeling Basics

✔STAR Schema

✔Snowflake Schema

✔Families of STARS

✔Transition to Logical Model

✔OLAP Systems

✔Features and Functions of OLAP

✔Dimensional Analysis


✔OLAP Implementation Approaches

✔Data Modeling for OLAP

✔Data Mining Systems

✔Basic Concepts

✔Data Mining Techniques

✔Data Preparation and Modeling

✔Data Preprocessing

✔Data Modeling



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