Healthcare industry has seen a massive influx of data from a multi load of digital sources, such as electronic health records, and body sensors. This data has opened the doors to many new opportunities in providing timely and accurate treatments to patients and unveiled access to concealed information that can be used for scientific research. While this data does provide an abundance of valuable insights, there exists a major concern in preserving the privacy and security of this data. This study thoroughly reviews the present literature on the privacy and security of data, Cervical Cancer genomic data, standards enforcing the privacy of data and the various techniques used to preserve them. Furthermore, this study also utilizes a cervical cancer dataset for visualization, by first cleaning the data using pre-processing on SAS. The data is then transformed and uploaded to Hadoop Horton works, and then to tableau for visualization.