Workshop Name: Graph Data Modelling with Neo4j
Skill Level: Intermediate
Delivery Type: Classroom delivery with instructor
- Developers, DBAs, Business Analysts and students.
- An understanding of the labelled property graph
- How to apply the property graph to common modelling problems
- Common graph structures for modelling complex, connected scenarios
- Criteria for choosing between different modelling 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 Neo4j Basics Workshop or the online Introduction to Neo4j Training is sufficient knowledge to understand this workshop
This session 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 modelling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements.
- Introduction to the labelled 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.
Lunch is not provided.
Please note the number of seats is limited, please let us know if you finally can’t make it.
Tom Geudens – Neo4j
At the age of 15, Tom Geudens’ parents gave him a choice. Either become a baker or go into IT. That Christmas, Santa brought a MSX home-computer and the choice was made. At twenty and with a Bachelor in IT under his belt, he joined the IT department of Colruyt, a Belgian retailer specialized in ‘Lowest Price’ and doing this through automation. He recently set up his own IT consultancy company, Elephant Bird Consulting and has worked with technologies from PL/1 through HPUX and Linux, and battled distributed applications development and configuration management issues. He currently is a field engineer for Neo4j and find his old skills with network databases (IDMS) back in big demand. Twitter: @tomgeudens
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