Course Name: Graph Data Modeling with Neo4j
Duration: 8-hours/1 day
Skill Level: Intermediate
Delivery Type: Classroom delivery with instructor
- Developers, DBAs, Business Analysts and students.
- 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
- You will need some familiarity with Neo4j, and the Cypher language in particular. The material from the Intro to Neo4j course is sufficient knowledge to understand this course
This 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.
- Introduction to the labeled property graph model
- Modeling guidelines
- Common graph structures
- Evolving a graph model
You will need your own laptop. Please arrive early to quickly install the product and labs used in the class.
Pieter Cailliau - Neo Technology
Pieter is part of Neo Technology’s Field Engineering team based in London. He holds a MSc in Computer Science from Ghent University, where he wrote a distinguished thesis on time-based graph models. Prior to joining Neo Technology, Pieter was an instanceof Software Engineer at TomTom, the world’s leader in location and navigation software, where he introduced neo4j to enable real-time impact analysis on their map.
Luke Gannon - Neo Technology
Luke is part of Neo Technology’s Field Engineering team based in London. Since he got in touch with Neo4j, he sees the whole world as one big connected graph and likes sharing his expertise. Most recently, Luke worked on a UK Government project to utilise Neo4j and Keylines for visualization. Luke has previously worked in a leading consulting company.
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Graph Academy is the world’s leading source for developer education on graph databases.
GraphAcademy is your premier destination to access flexible and innovative learning options that you need to become a graph data professional!
GraphAcademy Training provides you with the required skills to be effective with graph data and productive with Neo4j. You will gain key modeling and implementation skills to tackle graph data management on Neo4j with ease.
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