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.

Pie charts and scatter plots seem like ordinary tools, but they revolutionized the way we solve problems. Hannah Fry on the history of data visualization.

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.

When data goes missing, standard statistical tools, like taking averages, are no longer useful. “We cannot calculate with missing data, just as we can’t divide by zero,” said Stef van Buuren, the ...

Interconnected Data: The Missing Link To Make AI Useful. ... Co-CEO at Fluree, the scalable semantic graph database backed by blockchain technology. getty. Around the beginning of 2023, ...

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 ...

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.