Managing Big Data using Model Driven Engineering: From Big Data Meta-model to Cloudera PSM meta-model

In the era of Big Data, all our actions generate digital traces. A huge amount of data is generated daily. They are extremely related to personal life and they can be exploited in different fields. There is also internally generated data known as offline data that is created by the operations of organizations. The processing of this big data plays a key role in decision making. After the definition of generic meta-model in previous work for the processing layer. This paper presents a shift from the generic processing layer meta-model within Big Data (PIM) to a processing layer meta-model for the Cloudera distribution (PSM) through the use of the ATL transformation language. The result of the ATL transformation represents the PSM (Platform-Specific Models) according to the architecture of the MDA.