Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore ...

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...

Underutilized relationships, everywhere. As a graph database technology specialist, Neo4j says that its Graph Data Science product is the first data science environment built to harness the ...

Graph does offer advantages to data consumption use cases that rely on relationship traversal. However, those use cases are limited. When compared to MDM solutions with a fixed, prebuilt data model ...

Brain functional connectivity is one of the most important research topics because revealing its relationship with behaviour patterns will significantly help the development of brain science. This ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.. Google, Facebook and LinkedIn are among those utilising ...

While he specializes in JavaScript, both browser and server side, he also takes a keen interest in modern data stores (particularly graph databases) and distributed computing platforms. More from ...