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, ...

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 ...

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 ...

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 ...

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 ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

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 Management System (DBMS) software acts as an interface between an end user and a database and is designed to allow users to create databases as well as store, manipulate and manage data in an ...

Legacy databases are a bottleneck to digital transformation, a Vanson Bourne survey of 450 heads of digital transformation in organisations with 1,000 employees has found. The survey, which is ...

The data explosion demands new solutions, yet the hoary old RDBMS still rules. Here's where you really shouldn't use it I am a NoSQLer and a big data guy. That’s a nice coincidence, because as you may ...