Journal of Computer Science and Artificial Intelligence

A Study on Data Science Methodologies and Analytics
Author(s): R Saradha, Sudha Rajesh

As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2010. The main focus was on building a framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. All the ideas which we see in Hollywood sci-fi movies can actually turn into reality by Data Science. Data Science is the future of Artificial Intelligence. Multiple research tracks will be championed by members of the data science community with the goal of enabling rigorous comparison of approaches through common tasks, datasets, metrics, and shared research challenges. This article examines foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new data science research program (DSRP) and associated data science evaluation (DSE) series, introduced by the National Institute of Standards and Technology (NIST) in the fall of 2015.