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 ...

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 ...

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 ...

So you are a system architect, and you want to make the databases behind your applications run a lot faster. There are a lot of different ways to accomplish this, and now, there is yet another — and ...

The growth of the Relational Databases Software Market is primarily driven by the exponential rise in enterprise data volumes, increasing adoption of cloud-based database solutions, and the need for ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

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 ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...