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Data Modeling and Design Using Erwin

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 peo…

★★★★★ 4.8  ·  Rated by learners 🎓 Certificate of completion
Duration
20 Hours
🎥
Mode
Live + Recorded
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Level
Beginner → Pro
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Language
English / Hindi

Course overview

About the Data Modeling and Design Using Erwin program.

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.

Why learn with BISP

Trusted by professionals across 30+ countries.

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Industry trainers

Certified consultants with 12+ years of real project experience.

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Hands-on practice

Real-time scenarios & live project modules, not just slides.

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Placement support

Resume building, mock interviews & job referrals.

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Certification

BISP certificate + full guidance for official exams.

Course curriculum

Designed by real-time industry professionals around current job roles.

Download curriculum (PDF)

Data Modeling and Design Using Erwin Online Training Curriculum


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

Entities

  • Identifying entities
  • Validating entities

â–º Documenting "instances" of entities

Distinguishing entities from attributes

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

Relationships

  • 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

Sub-types and Super-types

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

Determining when entities are similar

  • UIDs
  • Attributes
  • One-to-one relationships

One-to-one relationships

  • Creating subtypes and super types
  • "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

Erwin Data Modeling Concepts

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

Erwin Dimensional Modeling Fundamentals

  • 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 Data type 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 Modeling 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

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

Course details

Who it is for, what you need, and how it is delivered.

Who should learn Data Modeling and Design Using Erwin?
  • 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
Prerequisites

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

Upcoming batches

Reserve your seat for the next live session.

SessionDateTimeReserve
D 18 Sep 2026 (Fri) 08:00 Reserve seat →
R 21 Sep 2026 (Mon) 08:00 Reserve seat →

Frequently asked questions

Everything you need before you enroll.

Can I attend a demo session before enrollment?

Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.

Can you schedule training as per my availability?

Yes. We discuss it with the trainer and schedule the training at a convenient time for you.

What if I miss a class?

You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.

Is there live project training?

Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.

How can I pay for the course?

Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.

More queries?

Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.

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