000 | 01254nam a2200289 4500 | ||
---|---|---|---|
001 | 18805965 | ||
010 | _a 2015953680 | ||
020 | _a9789332575073 | ||
082 | 0 | 4 |
_a006.312 _bERL/B |
100 | 1 | _aErl, Thomas | |
245 | 1 | 0 | _aBig data fundamentals : concepts, drivers & techniques |
260 |
_aChennai _bPearson _c2016 |
||
300 | _axv, 218 p. | ||
490 | 1 | _aThe Prentice Hall service technology series from Thomas Erl | |
500 | _aIncludes index. | ||
500 | _aSecond publisher place of publication taken from publisher's web site. | ||
520 | _aBig Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more-all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples. | ||
650 | 0 | _aBig data. | |
650 | 0 | _aData mining. | |
650 | 0 | _aDecision making | |
650 | 7 | _aBig data. | |
650 | 7 | _aData mining. | |
650 | 7 | _aDecision making | |
700 | 1 | _aKhattak, Wajid, Ed. | |
700 | 1 | _aBuhler, Paul, Ed. | |
942 | _cBK | ||
999 |
_c62795 _d62795 |