Discounted future value operations on a massively parallel processing system and methods thereof
Abstract:
A method for performing an iterative operation using columnar data on a massively parallel processing system includes arranging data from a data source in a columnar table format, receiving tabular data containing data points representing a forecast of future values, receiving instructions to perform an iterative calculation on the data points, and for a predetermined selection of the columnar data points, assigning portions of the predetermined selection to a parallel processing system and applying structured query language operators to the columnar data and the tabular data to calculate results of the iterative calculation. The method also includes analyzing the iterative operation to identify at least one invariant function, and creating a columnar data having data points representing the invariant function. A system for implementing the method and a non-transitory computer readable medium are also disclosed.
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