Abstract: The present invention provides a method and system for large-scale data loading including generating a data science model with at least one million data points. The method and system includes determining at least one native data resource having native data stored thereon and determining a size of the model data generated from the native data by translating a model query format of the data science model into a native query format of the native data resource. The method and system queries the native data resources using the data science model and receiving the model data, including transporting the model data to temporary data resources. The method and system engages the model data with the data science model and trains the data science model using the model data stored in the temporary data resources. Where the iterative training process requires multiple data-loading operations made possible under the present method and system.