A relational database is a type of database that organizes data points with defined relationships for easy access. In the relational database model, the data structures-- data tables, indexes and ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems–and there were few ...

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 ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

Database normalization is the cornerstone of database theory. Once a database is normalized, relationships between the data in multiple tables must be established. A hefty part of designing a ...

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 ...

Excel used to be the poor schmuck’s database, with spreadsheets that just sort of sat there. You could create something more sophisticated with LOOKUP functions, but they were a huge hassle to set up.

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 ...

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 ...

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, ...