The potential for knowledge discovery is currently underutilized on pharmacoepidemiologic data sets. A big dataset enables finding and assessing rare drug consumption patterns that are associated with adverse drug reactions causing hospitalization, or death. To enable such exploration of big pharmacoepidemiology data, four key issues need so be addressed. First, to ingest, transform, preprocess ...