Enterprise knowledge graphs, however, include the metadata and semantic benefits of MDM hubs but link all data together in adherence to semantic standards.

Knowledge graphs can be created from scratch by domain experts, acquired from unstructured or semi-structured data sources, or assembled from preexisting knowledge graphs.

This means big changes for enterprise data and employees. ... The knowledge graph keeps data, analysis, and everything people need to find, understand, and use data quickly together at all times.

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 ...

Register for this webinar to learn how enterprises are using a massively parallel processing (MPP) native graph database like Cambridge Semantics' AnzoGraph DB - which is built for diverse data ...

But the big data challenge of variety has mostly been ignored until recently. Perhaps knowledge graphs biggest contribution is to solve the variety problem by providing a consistent view across ...

Without digging too much farther into the weeds, knowledge graphs in general are more flexible than relational databases, are able to store, manipulate and delete metadata about data far more ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Thomson Reuters big data Knowledge Graph delivers social network for finance The Knowledge Graph uses a common language of Permanent Identifiers which connect some two billion relationships.

In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications.