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Data Management
Foundationerwin Data Modeler Fundamentals
Professional data modeling skills that last.
This comprehensive course provides a thorough introduction to data modeling using erwin Data Modeler. Participants will learn both the theoretical foundations of data modeling and practical skills for using erwin effectively. The course covers logical and physical modeling, standards enforcement, and collaboration workflows.
Duration3 days
FormatOn-site or Remote
Max Participants12
LanguagesGerman, English
Who Should Attend
- Data analysts transitioning to modeling
- Database developers and administrators
- Business analysts working with data requirements
- IT professionals involved in data projects
Prerequisites
- Basic understanding of relational databases
- Familiarity with SQL concepts
- No prior erwin experience required
What You Will Learn
Create logical and physical data models
Apply naming standards and domains
Perform forward and reverse engineering
Validate models for quality and consistency
Document models effectively
Curriculum
Training Modules
20 hoursof instructor-led training with hands-on exercises throughout.
1
Data Modeling Foundations
4 hours
Conceptual, logical, and physical models
Entity-relationship fundamentals
Normalization principles
erwin interface overview
2
Building Models in erwin
6 hours
Creating entities and attributes
Defining relationships and cardinality
Using domains and naming standards
Model organization and subject areas
3
Physical Design & Generation
5 hours
Logical to physical transformation
Database-specific features
Forward engineering DDL generation
Reverse engineering existing databases
4
Quality & Documentation
5 hours
Model validation rules
Compare and merge capabilities
Generating model documentation
Collaboration best practices
What You Get
- Comprehensive training materials
- Model templates and standards library
Training Materials
- erwin fundamentals workbook
- Quick reference card
- Standards templates
- Best practices guide
Hands-On Exercises
1Build a complete logical model from requirements
2Transform logical model to physical for specific DBMS
3Reverse engineer an existing database
4Document and validate a model for review
Your Trainer
Trainer with practical enterprise data-modeling experience.
Ready to master this training?
Get in touch to discuss scheduling, group discounts, or custom training requirements.