Basic Data Modeling: Introduction for Non-Data Modeler Teammates

In this introductory workshop, Karen Lopez covers the theory and skills required to being working on data models in an enterprise environment on modern project teams.   However, unlike our course for New Data Modelers, this course is focused on teammates of data modelers who want to get a better understanding of how data modeling works, what benefits there are and how their processes and deliverables may be affected…for the better.


With demonstrations and hands-on exercises, this training course provides the basics of logical and physical data modeling.  This course follows a workshop format, with both individual and team exercises. We offer this as a public workshop as well as in an onsite corporate format.

…but this isn’t your average "You will JUST LOVE data modeling" course. Our goal is to make data modeling relevant to modern development practices and tools. We’ll talk about some of the pain points modelers feel, why developers and DBAs sometimes don’t see the same beauty in our data models and how to ensure everyone, IT and business, gets value from data modeling and data modelers.

Participant Pre-requisites

As a basic course, it is not expected that attendees will have any data modeling experience. However, we do expect them to have more than two years of hands-on information technology skills at the enterprise level.

As this is a compact course (1.5 days), it will not provide attendees with sufficient skills or knowledge to become data modelers.  It is intended to provide enough insight into the data modeling products and processes to help team members of data modelers understand the goals and outcomes of data modeling efforts.

We offer basic and advanced courses for those who do have data modeling experience.

Interested in Attending?

For information about public courses, watch our blog and events page.

For inquiries about private courses, contact Karen with your desired timeframe and number of participants.


Defining Data Modeling and Why it is Important

Entity Relationship Diagrams

  • Logical Data Modeling
  • Physical Data Modeling
  • Relationships
  • Cardinality
  • Optionality

Subtypes, Attributes, Primary Keys

  • Supertypes and Subtypes
  • Attributes
  • Datatypes
  • Nullability

The Data Modeling Process

A Brief Look at Data Modeling for Other Types of Datastores

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