Speakers | |
---|---|
Martin Skurla | |
Schedule | |
Day | Sunday |
Room | AW1.125 |
Capacity | 76 |
Start time | 15:40 |
End time | 15:55 |
Duration | 00:15 |
Info | |
Track | Graph Processing Devroom |
NoSQL/Graph Database Visualization, The case of Gephi and Neo4j
We are recently witnesses of the significant movement and adoption of NoSQL databases. In particular, the graph databases become an important technology as we deal with a high increase of relational data. They not only store graph data structures much more efficiently, but also provide powerful graph traversal capabilities that make them suitable for this kind of data.
However we need to ease the exploration and understanding of these large amount of data. Visualizing the graph structure (relationships between nodes and edges) is critical to many situations like: verifying the reliability of new data input, optimizing an architecture based on the shape of the data, and even creating new services based on facts discovered in the data.
In this talk, you will learn how to understand the graph structure easily using Gephi & Neo4j!
We will go through the installation and showcase of visualization capabilities of Neo4j graph database in Gephi. The talk will cover exploration of general useful features of Gephi applying them on imported Neo4j database.
Concurrent events:
Next (up to 3) talks in the same room (AW1.125):
When | Event | Track |
---|---|---|
16:00-16:40 | Challenges in the Design of a Graph Database Benchmark | Graph Processing |
16:45-17:00 | Closing talk | Graph Processing |