Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Picture this: The year is 2030, and you’re living in a world where retailers can predict ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

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 ...

A database management system can help teams create databases and keep critical information organized in a central repository. However, to make the most of the system, it's critical that organizations ...

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space. Running The Bases By 2025 the total amount of digital data generated, gathered, ...

There is a key reason that companies are increasingly turning to enterprise solutions such as Couchbase Inc. for a combined relational and NoSQL database model. It’s because data is on the move.