Neo4j GraphDays: #AllYouCanGraph Silicon Valley
- Science & Technology
- Quadrus Conference Center, Menlo Park CA
Neo4j GraphDays! #AllYouCanGraph Palo Alto
Join us for a one-day event and get complimentary hands-on graph database training with Neo4j
During this free one-day event, Neo4j experts will introduce you to graph databases and demonstrate how to create graph-based applications. Neo4j GraphDays starts with a discussion of graph databases and demonstration of how Neo4j powers business applications. The afternoon sessions are complimentary hands-on training so that you will leave with the skills required to become effective with graphs and productive with Neo4j.
For any questions, please email: email@example.com
08:00 - 09:00 - Breakfast and Registration
09:00 - 09:45 - Graph All The Things! An Introduction to Graph Databases
presented by Andreas Kollegger, Senior Product Designer, Neo Technology
09:45 - 10:30 - Neo4j Makes Graphs Easy
presented by Kenny Bastani, Developer Evangelist, Neo Technology
10:30 - 11:00 - Break
11:00 - 12:00 - Graphs in the Real World: Top Use Cases for Graph Databases
presented by Utpal Bhat, VP of Marketing, Neo Technology
12:00 - 13:00 - Lunch
13:00 - 16:00 - Training Sessions
Intro to Neo4j - This course teaches the core functionality of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, you will quickly learn how easy it is to work with a powerful graph database using Cypher as the query language
Graph Data Modeling with Neo4j - Learn 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 and how to evolve an existing graph in a controlled manner to support new or changed requirements.
Build Your Own GraphGists - Create, manipulate and learn how to build your own graph domain model with GraphGists. Neo4j experts will be standing by to give you ideas on building, troubleshooting and enhancing your graph models
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