Alternatively, if a solution is being built internally, an existing canonical data model can be a valuable jump-start to the process of building a physical database design covering one or more areas ...

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.

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

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

In a graph database, every element contains a direct pointer to its adjacent element and no index lookups are necessary. Before looking into a graph database provider, make sure your intended use ...

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

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

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.