000			01824nam a2200361 i 4500
003			IE-LyATU
005			20230116192933.0
006			a|||| r|||| 001 0
007			ta
008			230116t2016 xxuabdo r|||| 001 0 eng d
020			_a9780134291079 _qpaperback
040			_aIE-LyATU _beng _dIE-LyATU _erda
100	1		_aErl, Thomas _eauthor _953126
245	1	0	_aBig data fundamentals : _bconcepts, drivers & techniques / _cThomas Erl, Wajid Khattak, and Paul Buhler
246			_aBig data fundamentals : _bconcepts, drivers & techniques /
264		1	_aBoston, USA : _bPearson Education Limited, _c©2016
300			_axv, 218 pages : _billustrations, maps, charts, photographs ; _c24 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490			_aPrentice Hall service technology series from Thomas Erl
504			_aIncludes index
520			_aThis book provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques
650		0	_947123 _aBig data
650		0	_916222 _aData mining
700	1		_aKhattak, Wajid _eauthor _953128
700	1		_aBuhler, Paul _eauthor _953129
830		0	_953127 _aPrentice Hall service technology series from Thomas Erl
942			_2ddc _cGA_GEN
960			_aGA_GWY _b1 _j€27.63 _lGA_BAB43 _m13/12/2022 _q11/01/2023 _vProquest Coutts _z9381
961			_fMeghann Drury-Grogan
998			_cBN -Gy
999			_c346298 _d346298