Join us for a round of interactive sessions (+beer and pizza) featuring real-world applications of graph databases.
In this event, you will learn more about how a database can be more than a simple "dumb" place to store your data and become an interconnected knowledge graph!
The event is free, but registration is required:
Please find below a short description for each of the short sessions:
Thomas Frisendal – tf-informatik.dk
Modeling - from business concepts to property graphs to physical models
Tweaks and transformations, some business semantics do's and don'ts and why it all comes together in enterprise knowledge graphs
Maria Scharin – neotechnology.com
“Intro to Graphs” and “Relational vs. Graph"
Talk about the property graph model and Cypher and general discussion about relational vs graph.
Fabio Lamanna and Omar Rampado – larus-ba.it
Unveiling Academic Collaboration Patterns with Graph Databases
We are going beyond the common metrics to evaluate the ranking of a researcher (page-rank, h-index) to develop a framework able to get your best academic recommendation system in real time, with the power of graph databases.
Thomas Thejn – salesvalue.net
Building a recommendation engine with Neo4j and Ruby on Rails
Why we selected to migrate from Postgres to Neo4j for our SaaS application for sales content management, and how we build a recommendation engine in Neo4j.
Pedro Parraguez – parraguezr.net
Knowledge graph applications for global R&D analyses
Hands-on demo of the DTU - LARUS collaboration using Neo4j to map global capabilities to tackle climate change (using sustainable biofuels as an example): www.amica-pathfinder.net