The SAS^® Scalable Performance Data Server and SAS^® Scalable Performance Data Engine are data formats from SAS^® that support the creation of analytical base tables with tens of thousands of columns. These analytical base tables are used to support daily predictive analytical routines. Traditionally Storage Area Network (SAN) storage has been and continues to be the primary storage platform for the SAS Scalable Performance Data Server and SAS Scalable Performance Data Engine formats. Due to cost constraints associated with SAN storage, companies have added Hadoop to their environments to help minimize storage costs. In this paper we explore how the SAS Scalable Performance Data Server and SAS Scalable Performance Data Engine leverage the Hadoop Distributed File System.