Review of Programming Languages and Tools for Big Data Analytics

Big data is a large pool of data that can be captured, communicated, aggregated, stored, and analyzed. 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.