000 | a | ||
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999 |
_c31824 _d31824 |
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008 | 230420b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781032292090 | ||
082 |
_a006.312 _bAKE |
||
100 | _aAkerkar, Rajendra | ||
245 | _aBig data computing | ||
260 |
_bCRC Press, _a2022 _cBoca Raton : |
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300 |
_axxii, 542 p. ; _bill., (B & W) _c23 cm |
||
365 |
_b2995.00 _cINR _d01 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aPreface In the international marketplace, businesses, suppliers, and customers do create and consume vast amounts of information. Gartner* predicts that enterprise data in all forms will grow up to 650% over the next five years. According to IDC. | ||
650 | _aDatabases Management | ||
650 | _aData Mining | ||
650 | _aBig Data | ||
650 | _aAdaptive merging | ||
650 | _a Big semantic data | ||
650 | _a CEP | ||
650 | _aCloud computing | ||
650 | _aE-government | ||
650 | _a Faceted search | ||
650 | _aGeographic information systems (GIS) | ||
650 | _aHadoop | ||
650 | _a HYBRIDJOIN | ||
650 | _aInteroperability | ||
650 | _aKnowledge life cycle | ||
650 | _aLinked Data | ||
650 | _aMapReduce | ||
650 | _aMESHJOIN | ||
650 | _a MongoDB | ||
650 | _a NoSQL | ||
650 | _a OBDA | ||
650 | _aOntology | ||
650 | _aPower law distribution | ||
650 | _aRDE | ||
650 | _a Semantic data analysis | ||
650 | _aSPARQL | ||
650 | _a STREAM | ||
650 | _aTopic modeling; Value chain; Zipf's law; Tassonomy. | ||
650 | _aValue chain | ||
650 | _a Zipf's law | ||
650 | _aTassonomy | ||
942 |
_2ddc _cBK |