November 15, 2011


MapReduce is a programming model to parallelize the work on large amounts of data. MapReduce took the data analysis world by storm, because it dramatically reduces the development overhead of parallelizing such tasks. With MapReduce the developer only needs to implement a map and reduce function, while the execution engine transparently parallelizes the processing of these functions among available resources.

HANA emulates the MapReduce programming model and allows the developer to define map functions as user-defined procedures. Support for the MapReduce programming model enables developers to implement specific analysis algorithms on HANA faster, without worrying about parallelization and efficient execution by HANA's calculation engine.

Please also see our podcast on this technology concept.

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