000 | 01553cam a2200313 i 4500 | ||
---|---|---|---|
001 | 17903901 | ||
003 | FBU | ||
005 | 20200701135933.0 | ||
008 | 130930s2014 maua b 001 0 eng | ||
010 | _a 2013039005 | ||
020 | _a9781422168165 (alk. paper) | ||
040 |
_aDLC _beng _cDLC _erda _dD LC |
||
042 | _apcc | ||
050 | 0 | 0 |
_aHD38.7 _b.D379 2014 |
082 | 0 | 0 |
_a658.4/038 _223 _bBIG 2014 |
100 | 1 |
_aDavenport, Thomas H., _d1954- |
|
245 | 1 | 0 |
_aBig data @ work : _bdispelling the myths, uncovering the opportunities / _cThomas H. Davenport. |
246 | 3 | _aBig data at work | |
300 |
_aix, 228 pages : _billustrations ; _c24 cm |
||
504 | _aIncludes bibliographical references (pages 211-216) and index. | ||
505 | 0 | _aWhy Big Data is important to you and your organization -- How Big Data will change your job, your company and your industry -- Developing a big data strategy -- The human side of Big Data -- The technology side of Big Data -- What it takes to succeed with Big Data -- What you can learn from start-ups and online firms -- What you can learn from large companies: Big Data and analytics 3.0. | |
650 | 0 |
_aBusiness intelligence _xData processing. |
|
650 | 0 | _aBig data. | |
650 | 0 |
_aBusiness planning _xStatistical methods. |
|
650 | 0 | _aData mining. | |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 |
_2ddc _cQ CH A |
||
999 |
_c4811 _d4811 |