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Data Modeling and Relational Data Design Training Course
Mastering Data Patterns and Entity-Relationship (ER) Diagrams
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.
Join over 300,000 business and IT professionals trained by Inteq worldwide.
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.
- 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. - 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. - How to Analyze a Business System
Explores techniques foundational to data modeling such as understanding business processes, data flows, and system interactions. - 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." - 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.
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
- 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.
Bring Your Team Together For a Live High-Impact Shared Training Experience
2, 3, 4 and 5-Day
Customized Training Options
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!
