Abstract: A system and method for facilitating interoperability of data transformations developed in different programming platforms under a unified platform including receiving a first transformation utilizing a first programming platform; receiving information about the first transformation; wrapping the first transformation; including the wrapped, first transformation in a transformation pipeline, the transformation pipeline including a second transformation that is wrapped, the second transformation utilizing a second programming platform different from the first programming platform; and executing the transformation pipeline including the wrapped, first transformation and the wrapped, second transformation in batch mode or real-time streaming mode.

Abstract: A system and method for exporting a training model for performing a prediction including sending for presentation, to a user, a directed acyclic graph representing a model trained using a transformed source dataset and one or more transformations used to obtain the transformed source dataset; determining the model as an endpoint based on a user selection; determining a transformation as a start point; determining whether one or more intervening transformations exist on a path going from the start point and leading to the endpoint in the directed acyclic graph; and exporting the model and relevant transformations, the relevant transformations including the transformation at the start point and any intervening transformations on the path going from the start point and leading to the model at endpoint in the directed acyclic graph to a production environment.