Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

In our use case, we had to build a graph data structure with subjects, relations, and objects. To do this, we used many basic data structures in Go, such as structs, slices, maps, and strings.

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

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 ...

What This Graph of a Dinosaur Can Teach Us about Doing Better Science “Anscombe’s quartet” and the “datasaurus dozen” demonstrate the importance of visualizing data ...

First, we’ll define and demystify these terms. Second, I’ll share some key business use cases that cannot be solved with traditional relational data catalogs. Finally, I’ll wrap it up by getting ...

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.