" rel="stylesheet">
Skip Main Navigation
Page Content
This event has ended

Graph Data Modeling with Neo4j – Portland


Thursday, July 31, 2014 from 9:00 AM to 5:00 PM (PDT)

Graph Data Modeling with Neo4j – Portland

Ticket Information

Ticket Type Sales End Price Fee Quantity
Neo4j Training Early Bird Pricing Ended $199.00 $0.00
Neo4j Training Regular Registration Ended $299.00 $0.00

Share Graph Data Modeling with Neo4j – Portland

Event Details

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.


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



  • 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


Course Description

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


Technical requirements

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


Huston Hedinger, Founder and CEO, graphAlchemist

Huston Hedinger

Huston Hedinger is the Founder and CEO of GraphAlchemist, providing Graph infrastructure as a service to large research organizations and Fortune 500s. GraphAlchemist offers a blend of products and services that focus on graph data modeling and data import as well as Business Intelligence for connected data.

Before founding GraphAlchemist, Huston studied computational social science and worked for an early stage venture fund in the Middle East.  Before receiving his Masters Degree from the Monterey Institute of International Studies he worked in Private Equity Finance and Commercial Real Estate. He is a (mostly) self taught hacker and enjoys prototyping new technologies for use in data science, natural language processing, and data visualization. He is a speaker of Arabic, an Ultra-marathoner (well, he did one, that was enough), and a Crossfit certified trainer.



Where can I contact the organizer with any questions?

For any questions about the event, e-mail graphacademy@neotechnology.com

Have questions about Graph Data Modeling with Neo4j – Portland? Contact GraphAcademy

When & Where

Portland Code School
1771 NW Pettygrove St #140
Portland, OR 97209

Thursday, July 31, 2014 from 9:00 AM to 5:00 PM (PDT)

  Add to my calendar



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. 

Serving customers in production for over a decade, Neo4j is the world’s leading graph database with the largest ecosystem of partners and tens of thousands of successful deployments.

Check out our training calendar and sign up today!

  Contact the Organizer
Graph Data Modeling with Neo4j – Portland
Portland, OR Events Class

Please log in or sign up

In order to purchase these tickets in installments, you'll need an Eventbrite account. Log in or sign up for a free account to continue.