| 000 | 01512nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20160106105907.0 | ||
| 010 | _a ENG-114366 | ||
| 020 |
_a9789339221270 _c199.00 |
||
| 020 |
_a9339221273 _c199.00 |
||
| 035 | _aEN-97898 | ||
| 037 | _bDBAD/PUB | ||
| 082 | _a005.74 | ||
| 245 |
_aUnderstanding big data : _cby Paul C. Zikopoulos...[et al] _banalytics for enterprise class Hadoop and streaming data / |
||
| 260 |
_aNoida _bMcGraw Hill Education _c2015 |
||
| 270 |
_aB-4, Sector-63, Dist. Gautam Budh Nagar _bNoida _e201301 |
||
| 300 |
_axxxi,141p. : _c22cm(pbk) _bill. |
||
| 520 | _a "Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide."-- |c Page 4 of cover. | ||
| 650 |
_aElectronic data processing _xDistributed processing. |
||
| 650 | _a File organization (Computer science) | ||
| 650 | _a Data mining. | ||
| 942 |
_2ddc _cEN _mUND _h005.74 |
||
| 999 |
_c97890 _d97890 |
||