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 ...

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 ...

Four queries and some in-app iteration on collections (joins). At my current job, we have a monolith of similar size/complexity that sits on top of a relational database. The DAOs are somewhat 1:1 ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

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 ...

Relational databases are characterized by data organized in tables, rows and columns (Column-Oriented). SQL select operations normally return cursors to a single row or a set of rows containing the ...

When object-oriented programming languages began to be used in enterprise applications, designers had problems fitting the object-oriented model with the relational model. In the object-oriented model ...

What have the Roman empire and the relational database got in common? Not too much at the moment I would suggest, but in a few short years I think we will be seeing an interesting similarity in their ...

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, ...