Abstract: The multi-tenant system includes hardware processors that obtain consumption records, the consumption records including consumption event attributes and consumption event attribute values. The hardware processors generating, in each of the partitions, one or more consumption datasets based on the consumption records, the one or more consumption datasets comprising aggregated consumption metrics across the consumption records that satisfy a trigger condition. The hardware processors generating analytics results from the one or more consumption datasets and outputting the analytics results.

Abstract: The multi-tenant system includes hardware processors that obtain consumption records, the consumption records including consumption event attributes and consumption event attribute values. The hardware processors generating, in each of the partitions, one or more consumption datasets based on the consumption records, the one or more consumption datasets comprising aggregated consumption metrics across the consumption records that satisfy a trigger condition. The hardware processors generating analytics results from the one or more consumption datasets and outputting the analytics results.

Abstract: The multi-tenant system includes one or more hardware processors that obtain consumption records, the consumption records including consumption event attributes and consumption event attribute values. The one or more hardware processors recognize schemas of the obtained consumption records, generate a consumption dataset to compile the obtained consumption records based on the recognized one or more schemas, determine from the generated consumption dataset cardinalities of each of eligible consumption event attributes, generate a cubed consumption dataset from the consumption dataset based on the determined cardinalities, route the cubed consumption dataset to one or more directories of a datastore, perform analytics on the cubed consumption dataset, and output the analytics results.