Abstract
Big data analytics is a powerful technique used by companies to secure their data. However, data security remains a significant challenge for cultural entities such as libraries and museums, as hackers can target database systems and gain access to sensitive information. This study examines the benefits and security issues associated with big data analytics and proposes a manual approach for analyzing data with application to digital presentation and preservation of cultural heritage. By providing insights into the strengths and weaknesses of big data analytics and exploring strategies for securing data, the goal of the research is to help organizations make informed decisions about their data management practices.
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