GraphAcademy
Course · Part of Build a Neo4j-backed Application

Graph Data Modeling Fundamentals

31 lessons across 8 modules
FoundationalCore DatabaseSharpen your CypherHomepageData EngineerCypherBuild a Neo4j-backed ApplicationBeginner
About this course

In this course, you will learn

  • Graph data modeling fundamentals

  • Creating graphs

  • Graph Refactoring

Course content

8 modules, 31 lessons.

  1. 3 lessons
    1. What is Graph Data Modeling?
    2. The Domain
    3. Purpose of the Model
  2. 4 lessons
    1. Modeling Nodes
    2. Creating Nodes
    3. Identifying a New Label
    4. Creating More Nodes
  3. 4 lessons
    1. Modeling Relationships
    2. Creating Initial Relationships
    3. Identifying a New Relationship
    4. Creating More Relationships
  4. 2 lessons
    1. Testing
    2. Testing with Instance Model
  5. 7 lessons
    1. Refactoring
    2. Labels in the Graph
    3. Adding the Actor Label
    4. Retesting After Refactoring
    5. Retesting with Actor Label
    6. Adding the Director Label
    7. Avoid These Labels
  6. 6 lessons
    1. Eliminating Duplicate Data
    2. Adding Language Data
    3. Refactoring Duplicate Data
    4. Adding Language nodes
    5. Adding Genre nodes
    6. Eliminating Complex Data in Nodes
  7. 3 lessons
    1. Specific Relationships
    2. Specializing ACTED_IN and DIRECTED Relationships
    3. Specializing RATED Relationships
  8. 2 lessons
    1. Intermediate Nodes
    2. Adding a Role Node
Where to next

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Importing Data Fundamentals

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Using Neo4j with Java

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Using Neo4j with Python

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