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Aboutsss Course:

This course introduces people to the principles and process of logical data modeling, Physical Data Modeling using ERWin Tool. The course details how to convert the business data requirements into a graphical representation. It teaches people how to analyze business requirements that should be incorporated into a logical data model and in Physical Data model in turn. In short, participants will learn proven, practical skills for analyzing and modeling data requirements, and make them ready to be transformed into a relational database and design multi Dimensional Database.

Duration : 30 hours

Fee2: 319

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Who Should Learn?
  • Anyone who is interested to learn 
  • Who wants to make a career in data Modelling
  • Database Administrators
  • Database Modelers
  • Analytics Managers
  • ETL and BI Developers

This certification training course does not presume or require any prior knowledge or prerequisites. 

However, basic knowledge of database concepts be an added advantageous. 

We are recommending that students should have following: 

  • Basic knowledge of database

Delivery Methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class Delivery

Live Interactive classes with expert

Training Calender

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+91 769-409-5404

  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion


Data Modeling and Design Using Erwin

Data Modeling and Relational Database design using ERwin

Introduction to Logical Data Modeling

  • Definitions
  • Benefits of logical data modeling
  • Data modeling vs. physical database design
  • Roles involved in data modeling
  • Steps in the data modeling process
  • Example data model


  • Identifying entities
  • Validating entities

Documenting "instances" of entities
Distinguishing entities from attributes

  • Naming entities
  • Starting an Entity/Relationship (E/R) diagram
  • Workshop


  • Identifying significant relationships
  • Determining the "cardinality" or "degree" of a relationship
  • One-to-One
  • One-to-Many
  • Many-to-Many
  • Determining whether a relationship is optional or mandatory
  • Giving a relationship a name
  • Documenting the relationships in the E/R diagram
  • Walking people through an E/R diagram
  • Workshop
  • Resolving Many-to-Many Relationships
  • Real-world examples of many-to-many relationships
  • Why many-to-many relationships are broken down into simpler relationships
  • Identifying "association" or "intersection" entities
  • Documenting the new relationships in the E/R diagram
  • Workshop

Attributes and Normalization

  • Defining and categorizing attributes
  • Domains and integrity rules
  • Unique identifiers/primary keys
  • Foreign keys
  • Occurrence population
  • Normalization: validating the placement of each attribute

Attribute does not repeat (first normal form)
Attribute is dependent on its entire UID (second normal form)
Attribute is dependent only on its UID (third normal form)

  • Workshop

Subtypes and Super-types

  • Identifying subtypes: real-world examples of subtypes and supertypes
  • Determining when entities are similar

One-to-one relationships

  • Creating subtypes and supertypes
  • "Type" entities
  • Using subtypes to apply fourth normal form
  • Establishing the relationships of the sub- and super-entities to other entities
  • Mutually exclusive vs. non-mutually exclusive subtypes
  • "Role" entities to handle complex subtypes
  • Workshop

Recursive Relationships

  • Real-world examples of recursive relationships
  • Discovering recursive relationships
  • Determining whether the relationships are optional or mandatory
  • Documenting the new relationships in the E/R diagram
  • Hierarchical vs. Network recursive relationships
  • "Structure" or "Bill of Materials" entities: fifth normal form
  • Workshop


  • Entities
  • Instances
  • Attributes
  • Keys
  • Relationships
  • Unification
  • Generalization hierarchies
  • Normalization


  • Modeling Approaches
  • Dimensional Modeling First Steps
  • Dimensional Model Complexity
  • Time Variant Analysis
  • Dimensional Sources and Data Mapping

Introduction to CA ERwin Data Modeler

  • Creating and configuring new models
  • Creating and defining entities
  • Creating and defining attributes
  • An introduction to the relationship of an attribute and its assigned domain
  • Creating and defining relationships
  • Creating and using Subject Area views of models
  • Extending ERwin with user defined metadata
  • ERwin reporting

Intermediate CA ERwin Data Modeler

  • Creating and using �User Defined Domains�
  • Managing naming standards
  • Managing Datatype standards
  • An introduction to Forward Engineering (SQL Generation)
  • An introduction to Reverse Engineering
  • An introduction to Complete Compare
  • Complete Compare Scenarios
  • Complete Compare Exercise
  • Design Layer Architecture
  • API programming
  • ODBC reporting
  • Data Warehouse modelling

Dimensional Modelling Self Paced Sessions :

Session#1 : Identify User Requirements

Session#2 : Modeling Design Phase

Session#3 : Semantic Layer

Session#4 : Multi Dimensional Database Path I

Session#5 : Multi Dimensional Database Part II

Use Case

Use Case 1


Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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