Past Meetup

Graph Analytics (hands-on) + Neo4j gRaphs (intro)

This Meetup is past

31 people went

Location image of event venue

Details

In anticipation for neo4j GraphTour http://neo4j.com/GraphTour , we created a joint meetup with our friends!
R-Ladies Madrid https://www.meetup.com/rladies-madrid
Big Data Madrid https://www.meetup.com/Big-Data-Madrid/
Neo4j España https://www.meetup.com/graphdb-spain/
Big Data Spain https://www.meetup.com/BigDataSpain/

Help us prevent the duplication of the lists of attendees of the co-hosting meetup groups: if you are a member of more than one, please confirm your attendance to ONLY one of them. Attendees showing up 15 minutes past the starting time might not be granted their access to the venue. The conducting language of both sessions will be English.

## Neo4j gRaphs - 25 minutes

* Abstract: Working with new databases may be somehow scaring, but don’t be afraid! Are you used to working with R? Then the package RNeo4j and some R graph packages are here to help you. Treat Neo4j results like R objects, work with them in your environment and send your results. An introduction to Neo4j with a Neo4j+R workflow.

* Bio: Bea Hernández @Chucheria is a Data Scientist at DatMean where she finds patterns and relations between online consumers. She also co-organizes R-Ladies Madrid and is a member of the NASADatanauts. ## Graph Analytics - 50 minutes

* Format of the session:

Combination of slides + hands-on example using interactive guide on Neo4j (local or sandbox)

* Abstract: In summer 2017, Neo4j released its first set of graph algorithms designed to help organizations understand their graphs at a global level. This session will discuss the algorithms for community detection, centrality and pathfinding. These complement long-standing graph navigation and traversal functions of which Neo4j is known. This growing graph analytics library is sure to become a foundation for your data science and development work.

In the meetup, we will explain the concepts and we'll use a public dataset to run a hands-on step by step example to demonstrate them.

* Bios:

Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database.

As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.

Jesús Barrasa is an engineer based in London. He's currently heading Neo4j's, Global Telecom Practice where his mission is to get all Telcos in the world getting value from graphs with Neo4j.

He combines over 15 years of professional experience in consulting in the Information Management space. Prior to joining Neo Technology, Jesús worked at Ontology (now EXFO) for seven years, where he got the first-hand experience with large graph DB deployments in many successful projects for major Telecommunications companies all over the world. Jesús holds a PhD in Computer Science from the Technical University of Madrid, where he carried out his research on graph data modelling and Semantic Technologies. He blogs at

https://jesusbarrasa.wordpress.com/

and tweets occasionally at @BarrasaDV

## Networking - 30 to n+30 minutes at will

Sponsored by Neo4j, we'll meet at a nearby bar (to be announced at the end of the last session) and reflect upon what we learnt and how it feels to be a graphista :)