The expanding use and advancement of database extraction technology seriously threaten the safety of people's private details. Privacy-preserving database miners (PPDM), a new area of data analysis, have recently received a lot of attention. The fundamental tenet of PPDM will be to alter the content, so that database extraction techniques are being carried out successfully without endangering the confidentiality of delicate facts in the database. In reality, an unintentional revelation of delicate details will even occur during file collection, content publication, and details (that is, content gathering reviews) delivery. However, the majority of existing research on PPDM is focused on determining how to minimize the security threat caused by content extraction processes. In such an essay, we consider the security concerns raised by data gathering from a larger angle and look into several defense mechanisms for private communications. Specifically, we classify consumers that participate in database extraction systems into four separate categories: data providers, data collectors, data miners, as well as policymakers. To break down massive content platforms into four consecutive modules—data creation, data processing, data retention, and data analytics—we provide an organized methodology. Such four parts form a big database revenue loop.