Data Security and Privacy in Data Engineering

Abstract

Due to the increased amount of data, it has become a key resource for strategic decision - making, data security and privacy issues are becoming more relevant than ever. In the context of Data Engineering, where vast amounts of information are collected, processed and stored, ensuring reliable data protection and maintaining their confidentiality becomes a top priority. Effective data management involves not only their technical processing, but also a guarantee that the entire information lifecycle is accompanied by appropriate security measures. The purpose of the work is to consider such an important aspect when working with data as data security and confidentiality in Data Engineering. The methodological foundations are: scientific works of domestic and foreign authors, articles, expert opinions.