Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Reports of the death of the relational database have been greatly exaggerated – at least in the enterprise. According to a new study from Progress Software – the company’s latest annual data ...

Temporal database systems are designed to capture and manage data that varies over time, thereby accommodating historical and time‐sensitive information. These systems integrate temporal dimensions ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Everyone knows what a simple database is: Telephone directories, mail-order catalogs and dictionaries are all databases of sorts. Databases can be structured or organized in several different ways: as ...

It’s not exactly clear where we are in the Gartner Hype Cycle with respect to so-called “NoSQL” databases. We’ve definitely been through the Trough of Disillusionment, but are we in the Slope of ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

Ishani Mody is a second year graduate student in Data Science at CU, Boulder. She will be facilitating courses such as DTSA 5510:Unsupervised Algorithms in Machine Learning, DTSA 5733:Relational ...

The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...