Abstract: A system, method, and computer program product are provided for performing real-time data model transformations. In operation, a data transformation system receives data from one or more source streams of data. The data transformation system identifies one or more target storage areas to store the data. The data transformation system identifies dependencies associated with the data based on relationship metadata associated with the data. Further, the data transformation system automatically transforms the data into a format associated with the one or more target storage areas such that the dependencies associated with the data are maintained. Moreover, the data transformation system stores the transformed data in the one or more target storage areas in the format associated with the one or more target storage areas such that the dependencies associated with the data are maintained.

Abstract: A system, method, and computer program product are provided for accessing data on a big data platform. In use, a request associated with a data processing job to process data stored in a big data store is identified, the data being stored in a plurality of rows with each row being associated with a unique key. Additionally, a data processing job input associated with the request is received, the data processing job input including a set of keys required to be read for processing. Further, the set of keys is translated into one or more queries, the one or more queries including at least one of a request to read an individual key or a request to read a range of keys. Moreover, the data is loaded from the big data store based on the one or more queries.