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Conceptual Data Modeling
Conceptual Data Modeling - online training course
 
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3-hour 30-min Online Course by David Haertzen
Single-user access license
Our Price: $335.00


Product Code: DM-02-A


Course Exam [Add $100.00]

Description Course Outline Exam Details
 

Conceptual Data Modeling using the UML standard is a key method for getting a handle on the data requirements of an organization. Effective conceptual data modeling results in maximum benefits from information assets by increasing shared use and avoiding redundancy. Data that is relevant, timely, consistent, and accessible has increased value to the organization.

This online training course teaches conceptual data modeling from A to Z and includes an effective mix of presentation and exercises.

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You will learn:
  • terminology, goals, and components of conceptual data modeling
  • how to benefit from conceptual data modeling
  • how to create conceptual data models, including Domain Models and Class Models
This course is geared towards:
  • Business Analysts and Architects
  • Database Administrators and Analysts
  • Data Administrators and Data Modelers
  • Information Technology Managers, Project Managers
  • Application Development Project Team Members

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 3 Write a review.

  0 of 0 people found the following review helpful:
 
4 of 5 Course Review July 7, 2014
Reviewer: James Garbutt  
The opportunity for practical exercises throughout the course was a great help in learning the material.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review November 14, 2013
Reviewer: Mahesh Gummagatta  
I liked the exercises to make me understand and then review the answers.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course review July 3, 2012
Reviewer: Philip Perucci from USA  
Overall, an incredible course! For refining the course, since Conceptual Data Modeling instruction in the industry is still rather weak (unlike your course), I'd note:* The distinction between _domain_ and _subject area_ is a bit unclear*

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