Work

Review of Programming Languages and Tools for Big Data Analytics

Year: 2017

Type: review

Abstract: Big data is a large pool of data that can be captured, communicated, aggregated, stored, and analyzed. This fact made big data material an attractive area for data scientists to innovate and practice their algorithms to implement and analyze this complex and unstructured data pool. In order to fully appreciate and carry out these tasks, data scientists are required to have a specific kind of knowledge and usage of powerful languages and tools. This paper presents a systematic review of programming languages, statistical tools, analytical solutions and visualization applications available in big data analytics area. Comparative study has been done to produce some concluding remarks.

Source: International Journal of Advanced Research in Computer Science

DOI: 10.26483/ijarcs.v8i5.3578

Authors: Tamanna Siddiqui, Mohammad AlKadri, Najeeb Ahmad Khan

Language: English

Topic: Big Data Technologies and Applications

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W2884900481

FWCI: 0.371

Cites: 3

Cited by: 11

Related to: 10