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 ...

Today’s applications—including enterprise applica­tions—need to be always on and always available and often must serve a global base of users who expect almost instantaneous response times regardless ...

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 ...

This is something we've been discussing at work, and I wonder if there's any formal theory or other approaches we might be missing... It is quite common to have a concept of "state" in a database ...

The term relational database is almost superfluous these days. After all, every major commercial database product—Oracle, Sybase, DB2—is based on the same underlying relational model. There are many ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

Up through the first decade of the 21st century, the world of relational databases wasn’t a particularly exciting one. From their arrival in the 1970s, relational databases mostly supported rather ...

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 ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

The way organisations store, manage and analyse data will always be a challenging issue given the constant assault of data on corporate IT systems. It’s as though IT teams are always playing catch-up.

Online transaction processing systems are purpose-built to handle large numbers of transactions by large numbers of concurrent users, while guaranteeing the integrity of the data. Online transaction ...