This post is a series of 3 articles about the GraphTech ecosystem, as of 2019. This article is the second part of the series and covers the graph analytics landscape. The first part is about graph databases, and the third part will list the existing graph visualization tools.
Have you ever had your credit card stolen? It is not an uncommon situation. If it happens to you and you’re lucky, your bank will end up paying for the operations made with the credit card. But what happens behind the scene? Do criminals get caught? In this post, we see how graph technology like […]
In this blog post, we will offer an overview on how to deal with Security information and event management/log management (SIEM/LM) data overflow. Let’s see how Linkurious’ advanced graph visualisation solution helps easily identify and investigate cyber-security threats. Switching to a data lake architecture is often a required first step for analysts who wish to use graph […]
Today, we’re excited to announce the public release of Linkurious Enterprise, the first data visualization platform for graph databases. Linkurious Enterprise helps organizations extract insights from their graph data in a safe and collaborative way. Two years ago we set out to democratize graph visualization. Since then, we have had the opportunity to work with over […]
Richard Brath & David Jonker, authors of “Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data”, recently sat down with us for an interview. These two experts shared their views on the role of graph visualization, how companies can use it and where it’s going. Can you introduce yourselves? David: Richard and I are […]
Crunchbase is collecting information about the startup eco-system. Its data is available via csv files. We have seen how to model it and load it into the Neo4j graph database. Now we are going to analyse the data to identify market trends and influential investors. The roles of analysis and visualization We have seen how to […]