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- W2142076088 abstract "MapReduce was designed by Google for large-scale data analysis on slow but cheap disk-based storage. Nevertheless, memory has declined in price to where cost-effective machines offer ever larger memory capacity. Furthermore, a more diverse data analyst community, with smaller datasets, has emerged. These trends motivate new parallel processing frameworks, like Spark [2], with better support for in-memory data analysis." @default.
- W2142076088 created "2016-06-24" @default.
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- W2142076088 date "2013-10-01" @default.
- W2142076088 modified "2023-09-25" @default.
- W2142076088 title "Recommending just enough memory for analytics" @default.
- W2142076088 cites W2189465200 @default.
- W2142076088 doi "https://doi.org/10.1145/2523616.2525957" @default.
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