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Tech Xplore on MSNResearchers develop a next-generation graph-relational database system
For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...
In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure ...
When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.
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.
In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...
There is a third way to create advanced data-driven apps and that is to be inspired by products but assemble a solution that imitates a pattern shown by a product. This approach has significant ...
Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.
Semantic graphs create meaning by mapping entities, their metadata, and their relationships in an evolving information network. By applying a fundamentally different approach to data integration, ...
Drawing and interpreting graphs and charts is a skill used in many subjects. Learn how to do this in science with BBC Bitesize. For students between the ages of 11 and 14.
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