Big Data integration -- combining multiple diverse data sets together -- is one of the key problems organizations face when working with Big Data. The challenges of integrating data are myriad: different data sets may come from different sources (internal and external); may have been created by different people; be structured in different ways; and contain different data types (e.g., text, images, maps, database tables, etc.) In addition, data sets may represent different levels of temporal or spatial granularity (e.g., real time per-transaction data vs.