Course: Graph Modeling with Neo4j
duration: 4 hours |
Language: English (US) |
access duration: 90 days |

Details
This course delves into the fundamentals of graph data modelling from a theoretical standpoint before applying some principles to a Neo4j database. Begin with an overview of data modelling in general and then graph modelling in particular. You’ll explore the use of properties, labels, and relationships to model your data correctly for efficient query execution. In addition, you’ll learn to use the Neo4j ETL tool to automate the migration from a relational database to a Neo4j graph and redefine a graph data model with the APOC library. Finally, you’ll learn about some of the options available in Neo4j's APOC library to re-factor your graph data model
Result
After completing this course, you’ll have a broad understanding of graph data modelling and how to use a Neo4j database for this. Especially how to automate and re-factor graph models.
Prerequisites
No prerequisites
Target audience
Software Developer
Content
Graph Modeling with Neo4j
Graph Modeling with Neo4j: An Introduction to Modeling Graphs
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.
Graph Modeling with Neo4j: Automating & Refactoring Graph Models
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.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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Certificate of participation | Yes |
Monitor Progress | Yes |
Award Winning E-learning | Yes |
Mobile ready | Yes |
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