Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

Graph neural networks have quietly become the workhorses of some of the most security-sensitive corners of modern computing.

Comcast Corp. is working on ways to better understand its customers’ families. The company plans to roll out features that enable parents to manage the devices their children use at a fine level of ...

Some things to consider when opting for graph databases in engineering applications. Graph databases have moved from a topic of academic study into the mainstream of information technology in the last ...

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...

AI, natural language processing and semantic search applications are a driving force behind emerging data management operations. Data teams can use knowledge graphs in conjunction with these tools to ...

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

Explore classroom strategies that help learners avoid common graphing mistakes and present data with confidence ...