A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational ...

As the volumes of data generated by organizations get larger and larger, data professionals face a dilemma: Must database bills get bigger in the process? And, increasingly, IT shops with an eye on ...

Today's databases are not only expected to be flexible enough to handle a variety of data formats, they're also expected to deliver extreme performance and to scale to handle humongous data volumes.

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, ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

There is a typical story cycle in IT: Every new technology destroys and replaces an older one. PCs displaced mini-computers. Smartphones unseated cameras and flip phones. Online streaming wipes out ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. In 2010, the talk about a "big data" trend has reached a ...

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 ...

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 ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...