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It’s not easy making sense out of a lot of “noise” in data, which is why I think you see conflicting answers about how to “best” approach large datasets. It’s like two different approaches to fishing.

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...

In this special guest feature, Torsten Hoefler from ETH Zurich writes that the new Green Graph500 aims to boost energy-efficient Big Data Computing. “Big Data” can be analyzed in various ways. The ...

John Pavlus over at Technology Review writes that computer scientists from Carnegie Mellon University have devised a framework for running large-scale graph computations on PCs and laptops. While PC’s ...

Graph analytics is critical to understanding and making sense of your data, in particular when combating fraud. Watch this demo and understand how to focus your investigation and focus your leads.

Building a dependable database management system is no easy task. You need to understand what the design trade-offs in the construction of a database management system are and also how those ...

REDWOOD CITY, Calif., June 12, 2018 (GLOBE NEWSWIRE) -- TigerGraph, the world’s fastest graph analytics platform for the enterprise, today announced the free Developer Edition of its graph analytics ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Grochow is among a growing chorus of researchers who point out that when it comes to finding connections in big data, graph theory has its limits. A graph represents every relationship as a dyad, or ...