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 ...

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 ...

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 ...

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 ...

Global scientists met in Beijing to discuss how big data can advance the United Nations' Sustainable Development Goals, ...

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 ...

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 ...

Critical data for global, regional and national development policymaking is still lacking. Many governments still do not have access to adequate data on their entire populations.

In the face of climate change, apple breeding programs need innovative ways to select cultivars that can thrive under diverse conditions.