According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

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 ...

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 ...

But with “Big Data” now becoming a reality, more programmers are interested in building programs on the parallel model — and they often find SQL an unfamiliar and restrictive way to wrangle data 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 ...

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 ...

No dramatic surprises are found in the latest ranking of programming languages by IEEE, which reported that Go is leading the ascending trend of Big Data-related languages that dominate the findings.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are presenting a new programming language, called Milk, that lets application developers manage memory more ...

Anyscale was started by University of California, Berkeley graduate students and the co-founder of the big data startup Databricks, which is now valued at $6.2 billion.