MDG1: Overview of Graphs from a Data Modeling Perspective

This course introduces the foundations of graph theory and its applications into graph data models. It explores the strengths of graph data models across different use cases and offers an overview of the differences between the broadly used graph paradigms. The primary focus is on property graph models.

Course Description

This course introduces the foundations of graph theory and its applications into graph data models. It explores the strengths of graph data models across different use cases and offers an overview of the differences between the broadly used graph paradigms. The primary focus is on property graph models. (Note: this is a recommended prerequisite to the other courses in this Learning Plan.)

Purpose

To provide an overview of graph concepts and graph data models across several use cases and representations.

Outcome

At the completion of this course, you will:

  • Understand the concepts used in graph solutions
  • Understand the strengths of graph data models across different use cases
  • Understand the differences between graph data model representations (property graph vs. semantic triple stores)
  • Understand the basics of property graph models (nodes, properties, relationships, paths, etc.)

This Course Includes:

  • An 87-minute educational training video
  • A 21-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:
    • Demo Script (Load and Analyze Data in Graphs)
    • Email Many-to-Many Script

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

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