Presentation: "How Graph Databases can make you a super star"

Track: Cloud and NoSQL / Time: Thursday 12:05 - 13:05 / Location: Room 202/203

Graph Databases can solve problems that your normal database struggle with. These can be hard problems, and not all of them were mentioned as graph problems in your CS classes. Using a Graph Database correctly can save the day, and make you look like a super star among your peers.

Find out what a Graph Database can do for you. You might not have a classic "graph problem," but a Graph Database might still be a good solution for your data. Learn what problems Graph Databases solve, how to use one, and most importantly when to use a Graph Database. All of this with concrete examples using the Neo4j Graph Database.

With this talk, we want to:

* Show you what kinds of data are at the sweet spot of Graph Databases.

* How to structure your database to reap the benefits of graphy data

* Teach you how to know when to use a Graph Database, and the fundaments of how to do so

* Show you real application examples on the Neo4j Graph Database

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Andrés Taylor, Software Developer at Neo4j

No picture of Andrés Taylor

Biography: Andrés Taylor

Andrés Taylor is also a software developer at Neo Technology. After working for more than 15 years in the industry, he has had a few specialties over the years; international hosting management, DBA, .NET development, Agile development and process management, to name a few.

Tobias Ivarsson, Hacker at Neo Technology

Tobias Ivarsson

Biography: Tobias Ivarsson

Tobias Ivarsson ( is a software developer at graphdatabase company Neo Technology (, thedevelopers of the popular open source graph database Neo4j( Tobiashas always been a tinkerer, taking things apart to understand how theywork, then putting them together again to make them better. When hefirst encountered Neo4j his programming language of choice was Python,so he made the two play nicely together. In order to do that he had totake Jython apart and put it together to support the language constructs ofPython 2.5. The journey has so far taken him deep into the internals ofPython, Java, the JDK and Hotspot, with code contributions to all,emerging with bare-metal familiarity of matters from languageimplementation to concurrency, and driving the machinery of graphdatabases as a member of the Neo4j core team.