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’ve worked with relational database systems for any length of time, you’ve probably participated in a discussion (argument?) about the topic of this month’s column, surrogate keys. A great ...

The real nugget in the post is “the whole point of seeking alternatives is that you need to solve a problem that relational databases are a bad fit for.” Adam Keys in his The Real Adam blog post ...

Often one reads a book or hears a presenter making a pun about relational theory being called “relational” because of entities being “related.” Such references are nothing but misplaced puns.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

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 ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...