Reducing execution time of data integration processes is a challenging and still only partially solved research and technological problem. A few optimization techniques have been developed and applied in practice. One of them is called push-down. It consists in moving the execution of some data processing tasks into a data source. This technique has been developed and evaluated on relational data sources. In this paper, we report our evaluation of push-down on NoSQL data sources, i.e., MongoDB and Cassandra, deployed on a micro-cluster.

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