What will I learn in Inteq’s Logical Data Modeling training course?

You will learn to identify, analyze, and transform ambiguous business concepts into clear data-oriented rules, and utilize ER diagrams to validate and specify the resulting requirements.

What are the prerequisites for this course?

There are no prerequisites. The course provides a comprehensive approach to data modeling and ER diagramming suitable for all experience levels.

What learning options are available for this course?

The course is available as Anytime eLearning™, live onsite training, or via Inteq’s live virtual classroom, tailored to your organization's training objectives.

Data Modeling Training Course

Q: Who should attend this course?

The course is ideal for business analysts, data modelers, BI requirements analysts, data architects, DBAs, project managers, developers, IT professionals, and subject matter experts focused on data-oriented business rules and requirements.

Inteq’s Data Modeling course delivers a practical, hands-on approach to mastering data modeling, including data modeling techniques, relational data design, and data-oriented business rules.

Participants learn to create accurate, extensible data models via Entity Relationship (ER) diagrams - critical for organizing relational data within relational databases in DBMS environments.

This course emphasizes translating complex business requirements into clear, effective, adaptable data models - enabling stronger collaboration between business and technical teams and ensuring scalable, efficient systems that support complex transactional systems and data-driven decision-making.

This is not just a training course but a transformational experience that prepares you to become a trusted advisor for the challenges of tomorrow's business landscape.

Join over 300,000 business and IT professionals trained by Inteq worldwide

Course Highlights

Master data modeling and relational data design
Create professional ER diagrams
Learn the 10 foundational data modeling patterns to capture and validate data-oriented business rules and requirements.
Apply real-world case studies to reinforce data modeling concepts and techniques
Gain practical skills in data analysis and structuring relational data
Understand the role of data modeling in enterprise environments
Bridge the gap between business requirements and business data
Build a strong foundation for modeling transactional data and analytics data

Who Should Attend

This course is perfect for:

Business and systems analysts involved in data modeling
Data modelers, DBAs, data analysts and data architects
IT professionals responsible for data integration or systems design
Software engineers and developers working with relational databases
Project managers overseeing data-centric initiatives
BI/reporting specialists needing a deeper understanding of data structure
Subject matter experts, citizen data analysts and anyone focused on data-oriented business rules, requirements or data models

Why Choose Inteq’s Data Modeling Course

Industry-expert instructors with real-world experience in database modeling
Focus on practical, immediately applicable data modeling skills
Robust training on ER diagrams and data model development
Deep coverage of relational data and data modeling patterns
Course materials designed to support ongoing reference and implementation
Flexible Delivery: Anytime eLearning™, Live Virtual Classroom or Team Training customized for your team’s unique needs
Transformation: This is not just a training course but a transformational experience that prepares you and your team to become trusted advisors in your organization
Accredited Courses: Offering ACCET Continuing Education Units (CEUs) and IIBA Professional Development Units (PDUs)
Trusted by leading organizations across industries – over 300,000 business and IT professionals trained worldwide

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.

Learning Objectives | You Will Learn | Key Benefits

Critical thinking skills to cut though superficial and ambiguous discussions to distill core business concepts.
Recognize recurring data modeling patterns to improve the quality and speed of analysis.
Techniques that enable thorough analysis of complex business rules and validate business requirements.
Create a precise, common vocabulary that is consistent among business SMEs, Business Analysts, IT professionals and other stakeholders across the organization.
Harness the power of Entity- Relationship (ER) diagrams - discover how to leverage ER diagrams for rapid and effective specification of requirements.
Developed clear, precise ER diagrams that capture and specify virtually any set of data-oriented business rules.
Master the art of precision: Dive deep into data-oriented business rules to unlock accurate requirements.
Future-proof your skill set: Stay ahead of the curve by mastering the foundational data modeling patterns.
Modernize your analysis toolkit - equip yourself with the techniques and methods to excel in today's data-driven world.
… and much more

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:

Team Training

Bring Your Team Together For a Live High-Impact Shared Training Experience

Schedule a Free Consultation

2, 3, 4 and 5-Day
Customized Training Options

Why team training?

Anytime eLearning™
Start As Soon As Today!

eLearning + Live Coaching Anytime, Anywhere, Any Device
Self Paced | 16 Hours | 90-Day Access Continuing Education Credits: 16 IIBA PDUs | 1.6 ACCET CEUs Tuition: $695

Save 10% off the total tuition if 3 or more 16-hour eLearning courses are purchased together. The tuition savings is displayed in the cart and at checkout.

Questions or need additional info? Contact us at 800.719.4627 or reach out here We look forward to assisting you!

What is Anytime eLearning™?

What Our Clients Say

"Very well organized, thorough, appropriate amount of individual work, group work, and lecturing. I appreciated the extra time given to allow diagrams to sink in."

"Great online course that covered all the essential data patterns. The instructor was excellent...very polished, knowledgeable and thorough. The examples he used and the time he gave us to relate it to our industries was invaluable."

"The instructor interaction with the group was invaluable - to consistently ask for our day to day business examples to help relate the concepts from the course. Also found the custom or proprietary data modeling patterns helpful. Very insightful way to take a different approach to the 'by the book' criteria."

"Very well organized, thorough, appropriate amount of individual work, group work, and lecturing. I appreciated the extra time given to allow diagrams to sink in."