The Big Data Technology: Assessing the Impact in the Banking Industry
| Autor: | Musa Ahmed Zayyad, Saadana Shehu, Alhassan Adamu, Shamsu Abdullahi, Nazir Yusuf, Abubakar Zakari, Lawal Idris Bagiwa, Amina Nura |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Open Journal of Science and Technology. 3:71-77 |
| ISSN: | 2664-7974 2664-7966 |
| DOI: | 10.31580/ojst.v3i2.1464 |
| Popis: | Big data is a form of data with increased volume, difficult to analyze, process, and store using traditional database technologies. It has long been adopted in business and finance where a large number of bank transaction are executed daily. The emergence of big data in banking industry results to large proportion of technical improvements in the industry. However, its processing causes disruption in the banking industry. Big data analytics is the process that involves using algorithms and software tools to extract useful business information from the dataset. This study adopts big data analytics process to investigates the disruption due to big data processing in the banking industry. The study identifies, acquired, and extracted dataset of the banking industry which was analyzed using MapReduce based fraud committed due to processing of large amount of data. findings show that government employee commit more crime in comparison with the private sector employees. Finally, based on customers gender, the male employees commit most of the fraud in both government and private sector. |
| Databáze: | OpenAIRE |
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