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 ...

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.

Distributed computing is the simultaneous use of more than one computer to solve a problem. It is often used for problems that are so big that no individual computer can handle them. This method of ...

Big Data problems are quickly presenting themselves in almost every area of computing from Social Network Analysis to File Processing. Many technologies, such as those in the NoSQL space were ...

Startup Quander aims to help brands "deliver a memorable, measurable, multi-sensory brand experience". It uses interactive technology to enhance the customer experience, while capturing the data that ...

When I first got into bioinformatics one of the things I needed to learn quickly was how to graph with very large tabels of data. Below are some of my favorite websites for learning how to graph big ...

With nearly 20 years of experience working with spatial and graph data in its flagship relational database, Oracle Corp. is taking that expertise and putting it into a new Big Data tool. Oracle Big ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...