• Online, Self-Paced
Course Description

This course delves into the fundamentals of graph data modeling from a theoretical standpoint before applying some of the principles to a Neo4j database.

Begin with an overview of data modeling in general and then graph modeling in particular. Learn to recognize the similarities in modeling for relational, document, and graph databases and identify how their approaches vary. Next, in the practical portion of the course, build a database with different entity types and multiple relationship types. Explore the use of properties, labels, and relationships to model your data correctly for efficient query execution.

Finally, delve into translating a CSV file containing a many-to-one relationship between entity types into a graph database and discover how to translate a tabular structure like a CSV file into a graph structure for Neo4j.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.