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Data Modelling Certification Training

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Reviews 4.9 (4.6k+)

Rated 4.7 out of 5

Learners : 1080

Duration : 25 Days

About Course

Our Data Modelling Online Training is designed to help learners master the concepts, tools, and techniques used to design efficient and scalable database structures. This course covers both conceptual, logical, and physical data modelling approaches, preparing you for real-world data management and analytics projects.

Through this training, you’ll learn how to analyze business requirements, translate them into data models, and implement them using industry-leading tools like ERwin, PowerDesigner, and SQL Developer Data Modeler. You’ll also gain practical experience in normalization, relationships, keys, constraints, and schema design across different database platforms such as Oracle, SQL Server, and Snowflake.

What You Will Learn

Fundamentals of data modelling and Database Testing design
Difference between conceptual, logical, and physical data models
Identifying entities, attributes, and relationships
Data normalization and denormalization
Dimensional modelling for data warehousing
Star and snowflake schema design
Best practices for performance and scalability
Working with real-world projects using ER diagrams

Why Enroll in This Course

Instructor-led online sessions with real-time examples
Hands-on practice with leading data modelling tools
Industry-based case studies and assignments
Assistance with Data Modelling Certification preparation
Job-oriented training for Data Analysts, BI Developers, and Data Engineers

Who Can Learn

This course is ideal for:

Database Developers and Administrators
Data Analysts and BI Professionals
Data Engineers and Architects
Anyone interested in learning data structure and database design

Data Modelling Training Course Syllabus

Module 1 – Need for Data Modeling

What is data modeling and its significance?
What is Data Warehousing

Exploring the 12c Oracle Database Architecture

Conceptual Data modeling
Physical Data modeling
Logical Data modeling
Benefits and scope of data modeling

Module 3 – Multidimensional Data Modelling

Basic Conceptual Architecture
Demonstrate fact and dimension
Difference between facts and dimensions

Module 4 – Introduction to RDBMS

Evolution of RDBMS
RDMS providers
Parts of database
Relational concepts

Module 5 – RDBMS Vs Data warehouse and ETL Process

OLTP vs. OLAP
What is ETL Process
Where ETL Process is used
Scope of ETL in Data warehouse

Module 6 – Erwin-Design Layer Architecture

Topics for Erwin Tool
Introduction to Erwin Tool
Installation and configuration of erwin and Notation
Creation of Entities and attributes
Creation of Relationship
Understanding constraints (PK, FK) in Erwin tool
Creation of Domains, Default Values, Validation rules
Creating Diagrams
Creating Conceptual model
Creating Logical model
Creating Physical model
Creating Subject area model
Generating Scripts from Physical Model
Building reports and Printing in erwin
Forward Engineering
Reverse Engineering
Complete compare of models/schem

Data Modelling Course Key Features

Live Instructor based training with software
Certification Oriented content
Hands-on complete Realtime training
Flexible schedule demo's & classes
Live recorded videos access
Study material provided
JOB Assistance

Course completion certificate

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Data Modelling Online Training FAQ'S

What is Data Modelling, and why is it important?

Data Modelling is the process of creating a visual representation of an information system’s data structure and relationships. It helps define how data is stored, connected, and accessed.
Importance:

Ensures data consistency and accuracy
Simplifies database design and maintenance
Improves communication between business and technical teams
Supports scalability and performance optimization

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What are the different types of Data Models?

There are three main types of data models:

Conceptual Data Model: High-level design focusing on entities and relationships.
Logical Data Model: Defines attributes, keys, and relationships in detail without database-specific implementation.
Physical Data Model: Represents how the data will be stored in the database, including tables, columns, indexes, and constraints.

What is Normalization, and why is it used?

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It divides large tables into smaller, related ones.
Common Normal Forms: 1NF, 2NF, 3NF, and BCNF.
Normalization ensures efficient data storage and simplifies updates or deletions without anomalies.

What is the difference between OLTP and OLAP Data Models?

OLTP (Online Transaction Processing): Used for daily operations; focuses on fast inserts, updates, and queries. It uses normalized data models.
OLAP (Online Analytical Processing): Used for analytics and reporting; focuses on query performance. It uses denormalized or dimensional data models (Star/Snowflake schema).

What are Star Schema and Snowflake Schema in Data Warehousing?

Star Schema: A central fact table connected to multiple dimension tables. Simple and easy to query.
Snowflake Schema: A more complex version of the star schema where dimension tables are normalized into multiple related tables. It saves storage but increases query complexity.

Reviews

    
 
 
         
   syed sayyad 
 
 
 
 Trustindex verifies that the original source of the review is Google. Nice place to learn with commitment and extra sessions to learn advance topics.
  
 
        
   Jatoth Laxman 
 
 
 
 Trustindex verifies that the original source of the review is Google. Very nice 😊 satisfied
  
 
        
   PAVAN KUMAR 
 
 
 
 Trustindex verifies that the original source of the review is Google. The training was very well-structured and easy to follow. The progression from foundational topics to advanced concepts made the learning experience smooth and engaging.
  
 
        
   venkataramanareddy beeram 
 
 
 
 Trustindex verifies that the original source of the review is Google. Very good for people who is going to enchance cloud technology
  
 
        
   Vishwa Teja 
 
 
 
 Trustindex verifies that the original source of the review is Google. Really good consultancy with a friendly and supportive team. They guide you at every step and keep you updated, which makes the whole process smooth. Definitely recommend for freshers and job seekers.
  
 
        
   Jayasimhareddy Chamala 
 
 
 
 Trustindex verifies that the original source of the review is Google. My trainer RAVI was excellent in delivering SAP Analytics Cloud (SAC) training. The sessions were clear and informative, and the overall training experience was very good. The only suggestion I have is that more hands-on practice would help students understand the subject even better. I truly appreciate her honesty and support, especially in handling the server issues during the course. Anyone looking to learn SAC can confidently trust and enroll in this training.
  
 
        
   Vanama jithendra 
 
 
 
 Trustindex verifies that the original source of the review is Google. I recently completed my course in VISWA online trainings it is a good experience for me basically my college faculty don't clarify my doughts but they clearly gave clear explanations for all my doughts with patience. Thank you VISWA  for improving my skills ❣️
  
 
        
   Siddhartha Mothukuri 
 
 
 
 Trustindex verifies that the original source of the review is Google. Learnt SAP EWM and it has been a really good experience with VISWA Online Trainings and trainer has been excellent in terms of his understanding in business as well as SAP. Thank you

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