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- W2396897900 abstract "The data volume and the multitude of sources have an exponential number of technical and application challenges. In the past, Big Data solutions have been presented as a replacement for the Parallel Database Management Systems. However, Big Data solutions can be seen as a complement to a RDBMS for analytical applications, because different problems require complex analysis capabilities provided by both technologies. The aim of his work is to integrate a Big Data solution and a classic DBMS, in a goal of queries optimization. We propose a model for OLAP queries process. Then, we valid the proposed optimized model through experiments showing the gain of the execution cost saved up." @default.
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- W2396897900 date "2015-01-01" @default.
- W2396897900 modified "2023-10-16" @default.
- W2396897900 title "MapReduce-DBMS: An Integration Model for Big Data Management and Optimization" @default.
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- W2396897900 doi "https://doi.org/10.1007/978-3-319-22852-5_36" @default.
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