Description: This course focuses on using the Neo4j ETL tool to automate the migration from a relational database to a Neo4j graph and redefining a graph data model with the APOC library.
Start by setting up a relational database with multiple tables for entities as well as relationships between entities. Discover how relationships are modeled in tabular structures and what needs to happen for their translation into graphs. Use the Neo4j ETL tool to map the relational tables to a set of nodes and relationships. You will see where the tool can save you work, and what its limitations are.
Finally, learn about some of the options available in the Neo4j's APOC library to re-factor your graph data model. This will include redefining the properties in nodes as well as modeling relationships with multiple properties as nodes with simpler relationships.
Target Audience:
Duration: 00:56
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.
Target Audience:
Duration: 01:13