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.

Neo4j is among the graph database vendors who have been around the longest, and it now is the best-funded one, too. But that does not mean it's the only one worth keeping an eye on. Amazon entered ...

Data is a collection of facts in a raw or unorganized form, such as numbers or characters. Without context, data does not mean much. For example, "18122020" is just a sequence of numbers.

Overview: Real-world messy data shows stronger skills than cleaned sample datasets.Clear project write-ups with charts tell a ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

The similarities between relational databases and semantic graph databases allow for a natural evolution of user skills, which is substantially more cost efficient than having to finance a slew of ...