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Blanas et al., 2014 - Google Patents

Parallel data analysis directly on scientific file formats

Blanas et al., 2014

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Document ID
11957367893256108841
Author
Blanas S
Wu K
Byna S
Dong B
Shoshani A
Publication year
Publication venue
Proceedings of the 2014 ACM SIGMOD international conference on Management of data

External Links

Snippet

Scientific experiments and large-scale simulations produce massive amounts of data. Many of these scientific datasets are arrays, and are stored in file formats such as HDF5 and NetCDF. Although scientific data management systems, such as SciDB, are designed to …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30386—Retrieval requests
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