Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

In the development business, there’s no excuse for a bad design. Unfortunately, you probably know developers who skip through or completely ignore the design process because they don’t understand the ...

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.

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

A multimodel database provides a single back end that supports multiple data models. It’s all about being able to choose the best data model for the job with a single storage substrate.

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.

New research, published in the journal “Scientific Data”, showcases a novel and groundbreaking global database containing net primary production measurements from 456 sites across major terrestrial ...