Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

And because bar graphs are everywhere, psychologists from Wellesley College wanted to determine how well people can actually read and interpret bar graphs. You know where this is headed. Turns out one ...

It is important to note that Graph DBs complement the existing MDM application, within the MDM infrastructure, as a way to store and retrieve Master Data. Out of the box, Graph DBs do not have the ...

Big data sets have shown clearly that the group influence often far outstrips the influence of an individual, whether in biological signaling networks or in social behaviors like peer pressure.

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Like all epidemics, the COVID-19 pandemic escalates in a crisis of individual and collective character. While in some ways crises bring people together, ... Making data FAIR with Knowledge Graphs.