Amazon Technologies, Inc.

Alan D Mock

Richard Jeffrey Cole

Techniques are described for managing aggregation of data in a distributed manner, such as for a particular client based on specified configuration information. The described techniques may include storing aggregated data values for an OLAP cube or other data structure in a distributed manner, such as in some situations in a distributed hash table. The aggregated data values to be stored may be generated in various manners, such as by performing multi-stage data manipulation operations&#x2014;for example, a map-reduce architecture may be used, with a first stage involving the use of one or more specified map functions to be performed, and with at least a second stage involving the use of one or more specified reduce functions to be performed.

Distributed storage of aggregated data

Techniques are described for managing aggregation of data in a distributed manner, such as for a particular client based on specified configuration information. The described techniques may include receiving information about multi-stage data manipulation operations that are to be performed as part of the data aggregation, with each stage able to be performed in a distributed manner using multiple computing nodes&#x2014;for example, a map-reduce architecture may be used, with a first stage involving the use of one or more specified map functions to be performed, and with at least a second stage involving the use of one or more specified reduce functions to be performed. In some situations, a particular set of input data may be used to generate the data for a multi-dimensional OLAP ('online analytical processing') cube, such as for input data corresponding to a large quantity of transactions of one or more types.

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Seattle, WA, United States of America

Alan D Mock