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- W2105521338 abstract "Today, big and small organizations alike collect huge amounts of data, and they do so with one goal in mind: extract value through sophisticated exploratory analysis, and use it as the basis to make decisions as varied as personalized treatment and ad targeting. Unfortunately, existing data analytics tools are slow in answering queries, as they typically require to sift through huge amounts of data stored on disk, and are even less suitable for complex computations, such as machine learning algorithms. These limitations leave the potential of extracting value of big data unfulfilled." @default.
- W2105521338 created "2016-06-24" @default.
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- W2105521338 date "2014-06-16" @default.
- W2105521338 modified "2023-09-26" @default.
- W2105521338 title "Conquering big data with spark and BDAS" @default.
- W2105521338 doi "https://doi.org/10.1145/2591971.2611389" @default.
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