Distributed storage of aggregated data

A non-transitory computer-readable medium whose contents configure one or more computing systems to perform a method, the method comprising:

• receiving a plurality of aggregated data values, wherein each of the aggregated data values is associated with a combination of multiple dimension category values for multiple dimensions;
• and
• initiating storing the plurality of aggregated data values in a key-value storage structure on multiple storage nodes by, for each of the plurality of aggregated data values:
• determining a value associated with the aggregated data value for use as a key for the aggregated data value, the determined value being based at least in part on the combination of multiple dimension category values associated with the aggregated data value;
• determining a storage location within the key-value storage structure by using the determined value as input to a hash function, the determined storage location being part of a subset of the key-value storage structure on one of the multiple storage nodes;
• and
• providing the aggregated data value for storage in the determined storage location on the one storage node.

A system, comprising:

• one or more processors of one or more computing systems;
• and
• a data aggregation system that is configured to, when executed by at least one of the one or more processors, store a plurality of aggregated data values for an OLAP (“online analytical processing”) cube having multiple dimensions, the storing of the plurality of aggregated data values including, for each of the plurality of aggregated data values:
• determining a value associated with the aggregated data value for use as a key for the aggregated data value, the determined value being based at least in part on a combination of multiple dimension category values that are associated with the aggregated data value and that correspond to the multiple dimensions;
• determining a storage location within a key-value storage structure stored across multiple storage nodes by using the determined value as input to a hash function, the determined storage location being part of a subset of the key-value storage structure on one of the multiple storage nodes;
• and
• providing the aggregated data value for storage in the determined storage location on the one storage node as part of the OLAP cube.