Most projects benefit from having a data model. Read this article for an overview of the most common types.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.

Increasingly, customers are demanding that their databases take on multiple chores. Emergence of multi-model databases providing developers multiple paths through APIs is the latest evidence of ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space including Cockroach Labs, MongoDB, MariaDB and Redis Labs.