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Erwin Data Modeler Course Overview

Erwin Data Modeler Course Overview

The Erwin Data Modeler course offered by Koenig Solutions equips you with essential skills for effective data modeling and database design. Throughout the course, you will learn key concepts such as entity-relationship modeling, normalization techniques, and data governance principles. The practical application of these topics empowers you to create and maintain comprehensive data models, ensuring data integrity and optimizing performance. By the end of this course, you will have the confidence to leverage Erwin Data Modeler in real-world scenarios, enhancing your ability to collaborate with teams and make informed decisions about data management. Join us to elevate your data modeling expertise!
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for Erwin Data Modeler

Erwin Data Modeler is a powerful tool for designing, managing, and optimizing data models, crucial for data-driven decision-making. Ideal for professionals seeking to enhance their data management skills.


  • Data Analysts
  • Data Architects
  • Database Administrators
  • Business Analysts
  • IT Project Managers
  • Data Engineers
  • Software Developers
  • System Analysts
  • Data Governance Specialists
  • Technical Consultants
  • Information Systems Managers
  • Enterprise Architects
  • Quality Assurance Analysts
  • Data Scientists


Learning Objectives - What you will Learn in this Erwin Data Modeler?

Introduction: The Erwin Data Modeler course equips students with essential skills to design and maintain data models effectively, enhancing their understanding of data management concepts and enabling practical application within various organizational contexts.

Learning Objectives and Outcomes:

  • Understand the fundamentals of data modeling and its importance in database design.
  • Learn to create and maintain conceptual, logical, and physical data models using Erwin Data Modeler.
  • Gain proficiency in applying normalization techniques to optimize data structures.
  • Explore best practices for documenting and presenting data models effectively.
  • Develop skills in model version control and collaboration within a team environment.
  • Master the import and export functionality for data model integration with other tools.
  • Understand the implications of data governance and its role in data modeling.
  • Utilize advanced features like data lineage, impact analysis, and model comparisons.
  • Learn to generate reports and visualizations from data models.
  • Prepare for real-world application of skills in database administration and data architecture.

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