Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

The blogosphere is full of descriptions about how data science and “AI’ is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk ...

A big new developer survey shows that Python has finally passed Java in the programming language popularity wars, propelled by its heavy use in machine learning and data science projects. "Python has ...

The big data ecosystem has changed. No longer is it true that people just want to store massive quantities of data. Action is not only needed but must be taken to sustain the viability of an ...

The need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern, ...