| 000 | 01611nam a2200373Ii 4500 | ||
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| 001 | AUP0KE25938PDF | ||
| 003 | FlBoTFG | ||
| 005 | 20230515124906.0 | ||
| 006 | m o d | ||
| 007 | cr cn | ||
| 008 | 150218t20152015flua ob 001 0 eng d | ||
| 020 | _a9780429183522 | ||
| 035 | _a(OCoLC)903645965 | ||
| 040 |
_aFlBoTFG _beng _erda _cFlBoTFG |
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| 082 |
_a658.0557 _bP949 |
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| 090 |
_aHD30.215 _b.P75 2015 |
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| 100 | 1 | _aPries, Kim H. and Dunnigan, Robert | |
| 245 | 1 | 0 |
_aBig Data Analytics : _bA Practical Guide for Managers |
| 260 |
_aBoca Raton : _bCRC Press, _cc2015. |
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| 300 | _a576 p. : | ||
| 500 | _aAn Auerbach Book. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _achapter 1. Introduction -- chapter 2. The mother of invention's triplets : Moore's law, the proliferation of data, and data storage technology -- chapter 3. Hadoop -- chapter 4. HBase and other big data databases -- chapter 5. Machine learning -- chapter 6. Statistics -- chapter 7. Google -- chapter 8. Geographic information systems (GIS) -- chapter 9. Discovery -- chapter 10. Data quality -- chapter 11. Benefits -- chapter 12. Concerns -- chapter 13. Epilogue. | |
| 530 | _aAlso available in print format. | ||
| 650 | 0 |
_aManagement _xStatistical methods. |
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| 650 | 0 |
_aManagement _xData processing. |
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| 650 | 0 | _aBig data. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aDatabase management. | |
| 655 | 7 |
_aElectronic books. _2lcsh |
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| 776 | 0 | 8 |
_iPrint version: _z9781482234510 (hardback) |
| 856 | 4 | 0 |
_uhttp://marc.crcnetbase.com/isbn/9781482234527 _qebook |
| 942 |
_2ddc _cEBK |
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| 999 |
_c1028 _d1028 |
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