Graph Data Modeling with Neo4j - Basel

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.

Course Outline:

  • Introduction to the labeled property graph model
  • Modeling guidelines
  • Common graph structures
  • Evolving a graph model

Audience: Developers, DBAs, Business Analysts and students.

Skills taught: 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

Prerequisites: 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

Technical requirements: You will need your own laptop. Please arrive early to quickly install the product and labs used in the class.

Instructor: Patrick Baumgartner works as a passionate software craftsman at 42talents and builds software with Java/JEE, Spring Framework, OSGi, NoSQL databases and other open source technologies. Since he got in touch with Neo4j a few years ago, he sees the whole world as one big connected graph and loves to talk about it.

Patrick is a host of the Neo4j Zurich and the Software Craftsmanship Zurich Meetup group and is engaged in the agile community in Switzerland.

Twitter: @patbaumgartner, @42talents Website: www.42talents.com

FAQs: What should I bring to the event? Please bring a laptop with Neo4j installed and a power cord. We will supply breakfast, lunch and refreshments.

Where can I contact the organizer with any questions? For any questions about the event, e-mail trainings@42talents.com

Registration: http://bit.ly/1pq0Nn9

Price: CHF 300
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