A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes

摘要: Medical research use cases are population centric, unlike the clinical which patient or individual centric. Hence require accessing medical archives and data source repositories of heterogeneous nature. Traditionally, in order to query from these sources, users manually access download parts whole sources. The existing solutions tend focus on a specific format storage, prevents using them for more generic scenario with sources where user may not have knowledge schema priori. In this paper, we propose discuss design, implementation, evaluation Data Cafe, scalable distributed architecture that aims address shortcomings approaches. Cafe lets resource providers create biomedical lakes various consume efficiently quickly without having priori schema.