The Storage And Analytics Potential Of HBase Over The Cloud: A Survey
August 02, 2016 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: The Storage And Analytics Potential Of HBase Over The Cloud: A Survey"
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Authors
Georgios Drakopoulos, Andreas Kanavos, Christos Makris, Vasileios Megalooikonomou
arXiv ID
1608.00796
Category
cs.DB: Databases
Citations
0
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Apache HBase, a mainstay of the emerging Hadoop ecosystem, is a NoSQL key-value and column family hybrid database which, unlike a traditional RDBMS, is intentionally designed to scalably host large, semistructured, and heterogeneous data. Prime examples of such data are biosignals which are characterized by large volume, high volatility, and inherent multidimensionality. This paper reviews how biomedical engineering has recently taken advantage of HBase, with an emphasis over cloud, in order to reliably host cardiovascular and respiratory time series. Moreover, the deployment of offline biomedical analytics over HBase is explored.
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