In-Memory Graph Databases for Web-Scale Data.

A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.

Detalles Bibliográficos
Publicado en:	Computer (00189162) Vol. 48; no. 3; pp. 24 - 36
Autores principales:	Castellana, Vito Giovanni, Morari, Alessandro, Weaver, Jesse, Tumeo, Antonino, Haglin, David, Villa, Oreste, Feo, John
Formato:	Artículo
Publicado:	IEEE Mar2015
Materias:	Computer software RDF (Document markup language) Databases Mass transfer coefficients Microclusters
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.