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 ...

The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely questioned. But ...

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 ...

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 ...

Many of the NoSQL tools out there, such as MongoDB, Couchbase, Hadoop, and others, purport to be leading a revolution and breaking the bonds of servitude to the restrictive, inflexible, established, ...

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 ...

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A database management system (DBMS) that provides both relational and object database management capabilities. See universal server. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction ...

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 ...