9. The method of claim 1 , further comprising: returning distributions based on probabilistic relationships between the rows and the columns of the dataset using the indices; and wherein the distributions returned comprise synthetic data from the indices which are mathematically derived from the columns and rows of the dataset but contain information about data that was not in any original record of the dataset and further in which the indices from which the distributions are derived are not constrained to the scope of the data of the original records of the dataset.
9. The method of claim 1 , further comprising: returning distributions based on probabilistic relationships between the rows and the columns of the dataset using the indices; and wherein the distributions returned comprise synthetic data from the indices which are mathematically derived from the columns and rows of the dataset but contain information about data that was not in any original record of the dataset and further in which the indices from which the distributions are derived are not constrained to the scope of the data of the original records of the dataset. 11. The method of claim 9 , wherein returning the distributions based on the probabilistic relationships, further comprises: passing an optional record count term with the PREDICT command term when querying the database, the optional record count term specifying a quantity of records to be returned responsive to the querying; and determining a required quantity of processing resources necessary to return the quantity of records specified by the record count.