Graph Modeling with Neo4j: An Introduction to Modeling Graphs

Neo4j 4.3.6    |    Beginner
  • 10 videos | 1h 13m 21s
  • Includes Assessment
  • Earns a Badge
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.


  • discover the key concepts covered in this course
    recognize the similarities and differences of data modeling approaches for relational, document, and graph data
    describe the different techniques used for representing entities and their interactions in a Neo4j graph database
    list the steps involved in mapping data in a relational database to a Neo4j graph database
    use labels and properties for Neo4j nodes in an optimal manner from the point of view of anticipated queries
  • create relationships between nodes and set properties on such relationships
    use a variety of queries on a Neo4j database using the Cypher query language and recognize the role of various facets of a data model in such queries
    create nodes and relationships from the contents of a CSV file
    describe how data in a tabular structure containing many-to-one relationships can be modeled as a Neo4j graph
    summarize the key concepts covered in this course


  • 2m 41s
  • 9m 46s
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    3.  Model Data for Neo4j Graph Databases
    9m 15s
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    4.  Translating Relational Data to Graphs
    5m 24s
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    5.  Defining Nodes for a Graph DB
    11m 26s
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    6.  Setting up Relationships Between Nodes
    9m 5s
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    7.  Querying a Graph
    8m 7s
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    8.  Modeling CSV Data as a Graph
    10m 7s
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    9.  Modeling Many-to-one Relationships
    5m 16s
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    10.  Course Summary
    2m 14s


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