Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Retrieving data in graph form is complicated, so Facebook created an open-source data-query language, GraphQL, specifically for that purpose.

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

The ground truth data collected by the IoT grid can feed back into the real-world knowledge graph, thereby creating a virtuous cycle. [4] Economic Growth Measurement ...

The business world (and the data within it) has become ‘operationally chaotic’ according to DataStax CEO Billy Bosworth. Speaking at an event near St Paul’s Cathedral in London this week ...

A graph representation of coauthorship, taken from either data set, might look like a triangle, showing that each mathematician (three nodes) had collaborated with the other two (three links).

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.

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

The data referenced in the graph is not based on direct temperature measurements either, he said. Instead, temperatures are inferred based on the types of oxygen locked in the ice core samples.