Big data programming models: map-reduce, distributed databases, software for implementing streaming and sketching algorithms. Dealing with unstructured data such as images, text or biological ...

The most important factor in choosing a programming language for a big data project is the goal at hand. If the organization is manipulating data, building analytics, and testing out machine learning ...

In fact, software written in SQL has been running in parallel for more than 20 years. But with “Big Data” now becoming a reality, more programmers are interested in building programs on the parallel ...

Which language should you use for your big data project? I’m afraid I’m going to take the coward’s way out and come down firmly on the side of “it depends.” ...

Big data analysis additionally is driving the demand for even faster, more effective, and also energy-saving computer clusters. The number of processors per system has now reached the millions and ...

Data Parallel C++ (shorthanded as DPC++), the direct programming language component of oneAPI, is an open cross-industry alternative to single-architecture languages.

The world is becoming increasingly more data-driven, prompting the need for those capable of analyzing mounds of information. With the Complete Introduction to R Programming Bundle, you can cash ...