You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...

SAS brings 50+ years of industry expertise and deep roots in data management and advanced analytics to its model portfolio.

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 ...

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

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 ...

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 ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

Big data can help you better understand the kinds of customers you should be targeting.

The rise of big data is an exciting — if in some cases scary — development for business. Together with the complementary technology forces of social, mobile, the cloud, and unified ...