Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Since that time, SQL has become the dominant language for relational database systems. In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

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 ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

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 ...

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 ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...