Abstract
The essence of an information system lies in the data; if it is not of good quality or not sufficiently protected, the consequences will undoubtedly be harmful. Quality and Security are two essential aspects that add value to data and their implementation has become a real need and must be adopted before any data exploitation. Due to the high volume of data, their diversity and their rapid generation, effective implementation of such systems requires well thought out mechanisms and strategies. This paper provides an overview of Data Quality and Data Security in a Big Data context. We want through this paper to highlight the conflicts that may exist during the implementation of data security and data quality management systems. Such a conflict makes the complexity greater and requires new adapted solutions.
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