Data Modelling and Design

Duration : 2 Days (16 Hours)

Data Modelling and Design Course Overview:

The Data Modeling and Design certification signifies expertise in crafting data models and designing databases aligned with organizational needs. Encompassing data structures, database normalization, and relationship mapping, it offers clarity on data patterns and relationships, aiding decision-making and strategic planning across industries. This certification empowers professionals to proficiently develop data models and databases for efficient data storage, retrieval, and management. Additionally, it sharpens skills in identifying business rules, entities, attributes, relationships, handling intricate data queries, and ensuring data integrity and security.

Intended Audience:

• IT professionals dealing with databases
• Software developers aiming to create robust data models
• Database administrators seeking advanced skills
• Solutions architects handling data-related issues
• Business analysts working on data-driven projects
• Project managers overseeing data-focused initiatives
• Computer science students or graduates looking for practical skills
• Professionals keen on shifting to data-centric roles
• Individuals aiming for data analyst or data scientist positions
• Enterprises aiming to enhance employee expertise in data handling.

Learning Objectives of Data Modelling and Design:

The learning objectives of a Data Modeling and Design course are to provide students with an in-depth comprehension of diverse data modeling techniques and their practical applications in database design. Students will gain proficiency in conceptualizing, modeling, and analyzing structured, semi-structured, and unstructured data. They will be introduced to the distinct phases of data modeling, including conceptual, logical, and physical stages. The course will also equip students with the skills to adeptly employ Entity-Relationship and UML diagrams in database design. Upon completion, students will be capable of designing and evaluating data models tailored to address specific organizational or problem requirements.

 Module 1: Introduction to Modeling

  • Introduction to Modeling
  • Why Model?
  • Project Phases and Model Transitions
  • Function Model Terminology

 Module 2: Create the Entity-Relationship Model

  • Create the Entity-Relationship Model
  • Identifying Entities
  • Identifying Relationships
  • Relationship Types
  • Uniquely Identifying Entity Instances
  • Refactoring Attributes as Entities
  • Supertype – Subtype Entities
  • Validating Unique Identifiers
  • Master-Detail, Classification, and Basket Patterns

 Module 3: Normalization

  • Normalization
  • Relational Database Principles
  • 0NF to 1NF Transition

 Module 4: Design and Implement Data Models

  • Design and Implement Data Models
  • From Analysis to Design to Implementation
  • Entity to Table Model Transition
  • Single Table Subtype-Supertype Implementation
  • Denormalization
  • Entity to Unified Modeling Language (UML) Class Model Transition

Data Modelling and Design Course Prerequisites:

• Basic understanding of Databases
• Familiarity with data structures
• Knowledge of SQL queries
• Prior experience with relational database systems
• Understanding of data manipulation and storage techniques
• Conceptual knowledge of data flow within an organization
• Introduction to data warehousing concepts.

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Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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