Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy & data source. In addition, big data was originally associated with three key concepts: volume, variety, and velocity. When we handle big data, we may not sample. As a result, we simply observe and track what happens. For instance, big data often includes data with sizes that exceed the capacity of traditional usual software to process within an acceptable time & value.