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ToMaR provides a flexible application for integrating existing software into data-flow applications that execute on top of a MapReduce-based environment. The application supports a Linux-inspired pipes-and-filter based syntax, the execution of existing applications using file and stream based IO, and the efficient integration with existing data-flow frameworks like Apache Pig.
We present To MaR, a scalable application that supports the efficient integration of legacy applications within a MapReduce environment. The work is motivated by scenarios for scalable content processing developed in the context of the EC project SCAPE. ToMaR specifically addresses the need for extracting data sets from large volumes of binary content based on existing, content-specific applications...
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