Course: Graph Data Modelling with Neo4j Evolve your Neo4j and Graph Database skills by learning how to design, implement and evolve a graph model

Graph Data Modelling with Neo4j

Evolve your Neo4j and Graph Database skills by learning how to design, implement and evolve a graph model


This 1-day training 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.

Objectives

  • 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

Intended Audience

Developers, DBAs, Business Analysts and students.

Prerequisites

You will need some familiarity with Neo4j, and the Cypher language in particular. The material from the Neo4j Basics Workshop or the online Introduction to Neo4j Training is sufficient knowledge to understand this workshop.

Modules

  Module 1 - Graph Data Modelling with Neo4j
  • Introduction to the labeled property graph model
  • Modeling guidelines
  • Common graph structures
  • Evolving a graph model

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