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(Graphs)-[:ARE]->­(Everywhere) Learn&Hack-Day

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Hosted By
Michael H.
(Graphs)-[:ARE]->­(Everywhere) Learn&Hack-Day

Details

Co-scheduled with Berlin Buzzwords (http://berlinbuzzwords.de) we are offering a day-long Learn&Hack event about all things graph.

Join us for a relaxed day of learning about the power of graphs, graph modeling and querying. We will look into cool use-cases and applications, and explore how easy it is to get your own graph-model and -app going in just a few minutes.

If you're lucky you can win printed copies of the brand-new 2nd edition of "Graph Databases (http://graphdatabases.com)".

What do we want to do?

Todays goal is to build apps and demos that use data from public web APIs to find new insights, discover relationships and present them to the user in a compelling way.

This can be everything from visualizing in graphs, charts and maps, mashing up data from different APIs, finding implicit connections in existing data using NLP or categorization to augment data or just a cool mobile app that makes graph data accessible.

List of Links of APIs, Tools, Documentation (https://gist.github.com/jexp/6ca5c8b528b8080fa63f).

Agenda & Logistics

• 10-13: Welcome & (tech) Intro

Welcome

Intro: Neo4j, Cypher, Drivers, Import, Viz

Ask Me Anything

Assemble team, Announce idea

• 13:00: Lunch

• 14-19: From Graph to App

Brainstorm, Model

Import, Query

Visualize, Display, Render, Interact

(Deploy, Cloud, Mobile)

• 19-21: Showing Off

Show your App

Judging

Winners

Free Discussions

Drinks, Pizza & Finger-Food in between

How does the Hackathon work?

• Have a great idea

• Find at least one other team member

• Learn what you need about Neo4j then get working

• Win!

Categories:

• Best use of Neo4j and Cypher

• Best data visualization / user interface

• Best data mashup

Event-Partners:

Berlin Buzzwords (http://berlinbuzzwords.de): The Big Data Conference in Berlin

Photo of Graph Database - DACH (Germany, Austria, Switzerland ) group
Graph Database - DACH (Germany, Austria, Switzerland )
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