The era of Big Data is driving considerable changes in how governmental agencies manage and use the varied types of data they acquire and store. The legacy Relational Database Management System (RDBMS), Enterprise Data Warehouse (EDW), and Storage Area Network (SAN) infrastructure used by agencies today to create siloed data environments is too rigid to accommodate the demands for massive storage and analyses on a larger and wider variety of data. Forcing this legacy architecture into today’s public sector organizations requirements is costly and risky.