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 ...

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, ...

Conventional wisdom states that relational databases are not scalable or robust enough to handle the huge numbers of connections, the massive throughput, and all the cool tricks required to master IoT ...

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 ...

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 ...

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 ...

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 ...

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 ...