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 ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Databases power most websites and applications. They provide a place where information can be stored, managed, and retrieved when needed. Traditionally, relational databases have organized data in a ...

Oracle has pivoted into the cloud and non-relational databases. MongoDB has built a massive community around its ecosystem. However, Oracle responded by introducing its own non-relational database. It ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Oracle (NYSE: ORCL) first introduced its relational database (the one that can be visualized in tables of rows and columns) in the late 1970s. While the Oracle database served user needs for decades, ...