| 000 | 01516cam a22003377a 4500 | ||
|---|---|---|---|
| 001 | 18017718 | ||
| 003 | OSt | ||
| 005 | 20160420140833.0 | ||
| 008 | 140124s2013 nyua 000 0 eng d | ||
| 010 | _a 2013444424 | ||
| 020 | _a9780071808170 (pbk.) | ||
| 020 | _a0071808175 (pbk.) | ||
| 035 | _a(OCoLC)ocn829742565 | ||
| 040 | _aSEKU | ||
| 042 | _alccopycat | ||
| 050 | 0 | 0 |
_aQA 76.9 _b.H3 |
| 245 | 0 | 0 |
_aHarness the power of Big Data : _bthe IBM Big Data platform / _cPaul C. Zikopoulos ... [et al.]. |
| 260 |
_aNew York ; _aSingapore : _bMcGraw-Hill, _c2013. |
||
| 300 |
_axxx, 248 p. : _bill. ; _c23 cm. |
||
| 520 |
_a"Learn all about IBM's enterprise-class end-to-end Big Data platform. Boost your Big Data IQ : details on in-motion and at-rest analytics, data asset discovery, integration, and governance. Get details surrounding the most common Big Data use cases that are transforming organizations today. Learn how to make down-stream Big Data projects faster to deploy ... and less risky. Gain confidence in your Big Data projects with an end-to-end tour of accelerators, tool sets, and samples to get you going ... FAST!"-- _ccover |
||
| 650 | 0 |
_aElectronic data processing _xDistributed processing. |
|
| 650 | 0 | _aFile organization (Computer science) | |
| 650 | 0 | _aData mining. | |
| 700 | 1 | _aZikopoulos, Paul C. | |
| 700 | 1 | _adeRoos, Dirk. | |
| 700 | 1 | _aParasuraman, Krishnan. | |
| 700 | 1 | _aDeutsch, Thomas. | |
| 700 | 1 | _aCorrigan, David. | |
| 700 | 1 | _aGiles, James. | |
| 942 |
_2lcc _cGEN |
||
| 999 |
_c12871 _d12871 |
||