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First launched in Austin as part of Data Day Texas, Graph Day is a roaming global fest bringing leaders from every corner of the graph community for a day of sessions, workshops, and the inevitable before and after parties. Graph Day gives you the unique opportunity to get in front of architects and active practitioners who have problems to solve -- those who are looking to deploy as well as those who might be looking for a better solution.
Visualizing Graph Data - Moving Beyond Node Views
Presented by Lynn Pausic

When people talk about visualizing graph data, what typically comes to mind is the canonical node view. Node views typically display nodes (vertex) and the relationships (edge) between them. With large data sets consisting of millions of vertices and edges, node views can quickly become unwieldy to use and comprehend. Traditional UI patterns and visualizations conceived for relational schemas often don’t work with graph data. Relational schemas are predefined and relatively static making it easy to tailor UI navigation to the available data dimensions. Due to the distinct mathematical nature of graph data, traversing data in a graph is fairly different. While this presents additional challenges, there are also opportunities.

Traversing a graph with certain algorithms allows you to, for example, show key influencers in social networks, clusters of communities in customer reviews or weak points in electrical grids. These new insights into data provide novel tools to craft the user experience. But this opportunity comes at a price, namely more complexity. Through building and deploying dozens of applications driven by graph data, we’ve developed a unique approach to building UIs driven by graph data and arsenal of data visualizations that work well across broad range of contexts. In this talk we’ll share various tools and examples for displaying graph data in meaningful ways to users.
Distributed ACID with JanusGraph on FoundationDB
Presented by Ted Wilmes

The popular open source JanusGraph property graph database supports a variety of different storage layers, each with their own operating characteristics and constraints, but up until now has not had a distributed ACID option. Earlier this year, Apple announced the open sourcing of FoundationDB, a high performance distributed key-value store with ACID guarantees. Could this be a match made in distributed serializable graph isolation heaven? This talk will explore this question in detail, starting with an overview of FoundationDB, followed by a discussion of why ACID matters in a graph database. We’ll finish with the implementation details of the new, experimental JanusGraph FoundationDB adapter and early performance results.
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