Apollo.io reports the best times to email VPs of marketing for effective outreach: Tuesday at 1 a.m. and Monday at 6 a.m. are ...

The chart's subhead claimed it showed the "Share of people in each country who say homosexuality can never or rarely be ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

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.

The flexibility offered by a knowledge-graph-powered data catalog enables near-immediate support for new types of data sources; a knowledge graph makes it easy to extend the model to represent ...

In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models ...

The "Graph Item Type" does not default to "AREA", so be sure to select that for a traditional graph that looks like a rolling hill of data. It's safe to leave "Consolidation Function" to AVERAGE, and ...

Graph analytics provide another arrow in our quiver – another tool that we can use against these vast amounts of social media and sensor-based data to uncover new insights about the ...

Graph databases (and specialized versions called native RDF triplestores that embody reasoning power) show great promise in knowledge discovery, data management and analysis.