Here, we look at the importance of real-time data to any organization and explore different use-cases and examples that illustrate my real-time data matters more than ever.

Real-time data management is the application of intelligence to data as soon as it’s created or acquired, rather than being stored for later analysis. Data is processed and forwarded to users as ...

The higher-order analogue of a graph, for example, is called a hypergraph, and instead of edges, it has “hyperedges.” These can connect multiple nodes, which means it can represent multi-way ...

LinkedIn recently published how LIquid, its graph database, automates the indexing and real-time access of all connections to members, schools, skills, companies, positions, jobs, events, etc. This kn ...

Through real-time data and AI, manufacturers have the ability to consistently monitor and troubleshoot live, solving any production issues before a disruption or hazard occurs,” said Baudis.

Real-time indexing on TRON pairs one of the industry’s largest transaction flows with The Graph’s fastest data pipeline, a combination likely to attract new analytics tools, market activity ...

With 5G, real-time computing will become a reality. The high speeds, high data throughput, and high number of connections that 5G enables will effectively erase the lag time between when data gets ...

Real-time indexing on TRON pairs one of the industry’s largest transaction flows with The Graph’s fastest data pipeline, a combination likely to attract new analytics tools, market activity ...