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 ...

Updates announced at the company’s annual MongoDB World conference this week include new analytics capabilities, a data lake for its Atlas database as a service, and the ability to query encrypted ...

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 ...

Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that ...

Data that can be immediately identified within an electronic file such as a relational database that is structured in rows (records) and columns (fields). For example, to retrieve the name of a city, ...