Commentary: It’s no longer exciting to talk about the rise of non-relational databases, but it’s happening all the same. It’s not exactly clear where we are in the Gartner Hype Cycle with respect to ...

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, ...

Have you noticed that relational "technology" seems to be taking a beating these days? With new “data models” and types of database systems purported to be better than relational, it seems that the ...

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 ...

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 ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

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, ...

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 ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...