Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships between ...

Unpacking the next data platform is a crucial process in the constantly changing world of data and artificial intelligence. It involves understanding metadata knowledge graphs and how different layers ...

First, you get the software: Operating systems, search engines, browsers, and social networks. Then, you get the hardware: Mobile phones, data centers, cloud. Then, you get a gradually expanding ...

Data.world, a vendor offering a knowledge graph powered, cloud-native enterprise data catalog solution, has announced it has closed a $26 million round of venture capital funding led by Tech Pioneers ...

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 ...

Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database management system uniquely structured to manage complex and ...

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...