Data Modeling and Relational Data Design Training Course
Mastering Data Patterns and Entity-Relationship (ER) Diagrams


IIBA Endorsed Education Provider| ACCET Acccredited 


Inteq’s data modeling course emphasizes analyzing and translating business concepts into clear, effective, adaptable data models - enabling stronger collaboration between business and technical teams and ensuring scalable, efficient systems that support transactional systems and data-driven decision-making.

Participants learn to create accurate, extensible logical data models via Entity Relationship (ER) diagrams - critical for organizing relational data within relational databases in DBMS environments. Transform business requirements into clear, organized data structures that support application development, business intelligence and reporting.
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What You Will Learn

  • Create professional Entity-Relationship (ER) diagrams and logical data models
  • Identify and define entities, attributes, and relationships
  • Apply normalization techniques to optimize data structure
  • Design data models for enterprise scalability and integrity
  • Bridge the gap between business analysis and data architecture
  • Master the art of identifying and asking the right business questions
  • Integration of real-world case studies and hands-on exercise to ensure concepts are immediately applicable

Who Should Attend

  • Business Analysts, Business Systems Analysis, Data Analysts
  • Data Architects and Database Designers and DBAs
  • Software Engineering and Application Developers
  • Business Intelligence, Analytics and ETL Specialists 
  • IT Project Managers and Technical Leads
  • Professionals involved in data transformation initiatives

Course Benefits

  • Improve data quality and integrity across systems
  • Enhance your ability to design scalable database structures
  • Support better applications and decision-making through structured data
  • Strengthen collaboration between business and IT teams
  • Advance your career in data-driven roles and architecture

Course Format & Delivery Options

  • Delivery: Live online, self-paced on-demand, or onsite
  • Duration: 2 days | 16 Hours
  • Certification: Certificate of Completion + CEUs
  • Tools Provided: Templates, models, and frameworks for reuse

What Sets This Course Apart

  • Led by James Proctor, a recognized expert in data modeling and relational data design
  • Our unique 10 foundational data modeling patterns based approach enables you and your team to rapidly mastering data modeling and relational data design.
  • Inteq's Data Modeling training is not just a course, its transformational experience that prepares you to become a trusted advisor for the challenges of tomorrow's business landscape.

Register Now

Start designing better data models today. Add to cart (see side panel) and start learning as soon as today. Or, for Team Training, please contact us via the Team Training side panel to discuss your specific training goals and objectives - including 3, 4 and 5-day hybrid and bootcamp training programs.

Course Outline

Introduction And Foundation

Data-oriented business rules

The business vocabulary

Business transactions vs. business intelligence

Rules vs. knowledge

ER diagrams and data models

Framework For ER Diagramming

Business entity types

Attributes and meta-data

Cardinality and dependency

Principle relationships

Diagramming Baseline Rules And Patterns

Domain entity types

Associative relationships

Domain-based associations

Repeating groups

Transactional relationships

Diagramming Complex Rules And Patterns

Super type / sub-type relationships

Recursive hierarchies

Recursive networks

Role-based associations

Time-dependent data

Diagramming BI Rules And Patterns

Tactical and strategic business questions

Business facts and dimensions

Analyzing cross-organizational facts

Dimensional modeling

Business Rule Generalization

Normalizing business data

Generalizing business entities

Analyzing meta-data for abstractions

Data Modeling At-Scale Case Study

Participants analyze a complex business domain and develop a comprehensive logical data model. This case study provides an invaluable data model template that participants can leverage to jump start and improve logical data modeling and data analysis in their organization.

Leveraging AI Prompt Engineering*

Overview of Generative AI (GenAI)

The secret sauce: Asking the right questions via prompt engineering

Applying AI prompt engineering to identifying data oriented business rules.

10 myths of analysis

Practical Guidance And Best Practices

Scaling models to the enterprise level

Model transformation; conceptual > logical > physical

Using reference models to leverage analysis

Implementation considerations and best practices

Getting started

* Before using AI as part of your data modeling toolkit, it's essential to first deeply understand data modeling best practice concepts, skills, techniques and methods. You can then leverage this knowledge via GenAI prompt engineering to amplify and enhance the speed and quality of data modeling.

Top 5 Relevant Blog Posts
  1. Business System Requirements: Custom Build vs. Vendor Product
    Discusses the importance of clear, structured system requirements—which directly ties into the role of logical data modeling in requirement definition and traceability.

  2. Top 10 Business Intelligence Requirements Analysis Questions
    Focuses on defining the right data for decision-making—echoing the course’s emphasis on capturing and structuring business data needs.

  3. How to Analyze a Business System
    Explores techniques foundational to data modeling such as understanding business processes, data flows, and system interactions.

  4. Business Analyst Best Practices: The Five Essential Business Analysis Questions
    Sets up the strategic thinking that informs data modeling—asking the right questions to define the "what" before modeling the "how."

  5. The Most In-Demand Skills for Business Systems Analysts
    Logical data modeling is one of these skills; this article reinforces the relevance of the course to market demand.

What’s In the box?

OK, there is not a box per se, the content is digital. In addition to 2-days/16 hours of expert instruction you receive:

  • Digital Badge of Completion
  • Personalized Certificate of Completion
  • ACCET Continuing Education Units (CEUs)
  • IIBA Professional Development Units (PDUs)
  • Electronic (PDF) Comprehensive Course Manual
  • Case Study Materials
  • Supplemental Course Materials
Learning Options:
  • Anytime eLearning™: Self-Paced Training For Busy Professionals
    Inteq’s Anytime eLearning™ provides the perfect option for individuals and small groups to acquire professional level analysis skills as-needed and just-in-time. The course is designed for two days, but Anytime eLearning™ allows self-paced learning. Course access is 90 days, with most participants finishing in 1-3 weeks. Start training as soon as today! 

     
  • Live Virtual Classroom: Instructor Led | Live Online. Inteq's innovative Live Virtual Classroom approach brings the benefits of traditional classroom training into a live virtual environment.

  • Live Team Training (Virtual or Onsite): Inteq’s Business Systems Analysis 2-day training course can be tailored to your organization’s training objectives and can be combined with other Inteq courses to create a 3, 4 and 5-day hybrid training program.

  • Enterprise training for the entire organization.
Prerequisites:

None. Inteq's Logical Data Modeling provides a comprehensive and cohesive approach data modeling and ER diagramming regardless of background and level of experience.

Logical Data Modeling integrates seamlessly with Inteq’s training courses: