When it comes to social graph ... storage processing, memory, interconnect, data center square footage, power consumption, and so on — that dwarfs almost every other type of big data deployment ...

Grochow is among a growing chorus of researchers who point out that when it comes to finding connections in big data, graph theory has ... to four papers. A comparison of hypergraphs from the ...

We may not be aware of them, but we’re interacting with graphs every time we search for something Google, seek a new friend on Facebook, or hail a ride on Uber. While graphs allow us to access ...

A simplified graph data model available in graph databases helps enterprises achieve this goal in fewer steps and without locking into a single notion of the analytics needed. A comparison of old ...

Yet, that relational technology model has reached its limitations, as it was not built in anticipation of the big data movement which ... query engine based on in-memory processing of semantic data in ...

Graph Engine is a distributed, in-memory, large graph processing engine ... in favor of working with HortonWorks on the Hadoop big-data framework for Windows and Azure. Another Microsoft Research ...

How Big Data Carried Graph Theory Into New Dimensions Security Politics The Big Story Business Science Culture Ideas Merch Reviews More ...

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 ... each mathematician contributed to four papers. A ...