Graph Data Modeling with Neo4j

Course / seminar / educational event / training session | -

Skills taught

  • An understanding of the labeled property graph
  • How to apply the property graph to common modeling problems
  • Common graph structures for modeling complex, connected scenarios
  • Criteria for choosing between different modeling options
  • How to modify an existing model to accommodate new requirements

Prerequisites

You will need some familiarity with Neo4j, and the Cypher language in particular. The material from the Intro to Neo4j course is sufficient knowledge to understand this course.

Course Description

This course teaches how to design and implement a graph data model and associated queries. With a mixture of instruction and hands-on practice sessions, you’ll learn how to apply the property graph model to solve common modeling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements.

Course Outline

  • Introduction to the labeled property graph model
  • Modeling guidelines
  • Common graph structures
  • Evolving a graph model

Technical requirements

You will need your own laptop. Please arrive early to quickly install the product and labs used in the class.

Price CHF 300.-