Big Data and cloud storage paired with the processing capabilities of Apache Hadoop and Hive as a service can be an excellent complement to expensive data warehouses. The ever-increasing storage demands of big data applications put pressure on in-house storage solutions. This data is generally not stored in database systems because of its size. In fact, it is commonly the precursor to a data mining or aggregation process, which writes the distilled information into a database. However, for this process the constantly growing data collected from logs, transactions, sensors, or others has to be stored somewhere, inexpensively, safely, and accessibly.