MDG2: Property Graph Data Modeling Compared to Classic Data Modeling

This course is the data modeler’s survival kit in the graph world. It discusses how classic best practices such as normalization, identities, uniqueness, cardinalities, and so forth apply in the graph context.

Course Description

This course is the data modeler’s survival kit in the graph world. It discusses how classic best practices such as normalization, identities, uniqueness, cardinalities, and so forth apply in the graph context.

Purpose

To help data practitioners who have either basic or advanced Data Modeling experience in applying sound Data Modeling techniques in the graph database world.

Outcome

At the completion of this course, you will have a clear understanding of the differences between relational/SQL and graph data models. You will also know:

  • Which specific features of Classic Data Modeling are not relevant in the graph world
  • Which specific features of Classic Data Modeling will need to be done differently, and how
  • Which new requirements and concerns are specific to Graph Data Modeling

This Course Includes:

  • A 90-minute educational training video
  • A 20-question exam
  • Materials made available for download once the exam has been completed
  • Self-paced and on-demand e-learning
  • Unlimited course access
  • Course CEUs: 1.5 hours
  • Additional course resources include:
    • The Power of Dependencies Guide

Individual Course Price: $169
Learning Plan Price:
 $599
Learning Plan CEUs: 6.0 hours

We offer several bulk licensing options for corporate and group use.
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