000			02402cam a2200445ua 4500
001			17883879
003			OSt
005			20220105002315.0
008			150810s2014 flua b 001 0 eng
010			_a 2013037013
020			_a9781466578371 (hardback)
040			_aDLC _beng _cDLC _dDLC _erda
041			_aeng
042			_apcc
050	0	0	_aQA76.9.D3 _bB52796 2014
082			_223 _a005.745BIG _aBUS083000 _aCOM021000 _aCOM021030 _aBUS083000 _aCOM021000 _aCOM021030 _aBUS083000 _aCOM021000 _aCOM021030
084			_2bisacsh _aBUS083000 _aCOM021000 _aCOM021030
245			_aBig data computing / _cedited by Rajendra Akerkar. _hTextual Documents
260			_bCRC Press _c2014
264		1	_aBoca Raton : _bCRC Press, _c[2014]
300			_axxii, 542 pages : _billustrations ; _c25 cm
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references and index.
520			_a"Preface 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,
520			_a"To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions"-- _cProvided by publisher.
650			_aBUSINESS & ECONOMICS / Information Management.
650			_aCOMPUTERS / Database Management / Data Mining.
650			_aCOMPUTERS / Database Management / General.
650			_aDatabase management.
650		0	_aBig data.
650		0	_aData mining.
653			_aData Mining
700			_aAkerkar, Rajendra.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_cBK _2ddc
999			_c301463 _d301463