000			01954cam a2200265Ia 4500
001			829742565
003			APU
005			20160125051502.0
008			130312s2013 nyua 000 0 eng d
020			_a9780071808170 (pbk.)
020			_a0071808175 (pbk.)
040			_aSISPL _cSISPL _dSUE _beng
050	0	0	_aQA76.9.D5 _bH37 2013
082	0	0	_222 _a006.312 _bHAR 2013
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, _cc2013.
300			_axxx, 248 p. : _bill. ; _c23 cm.
505	0		_aWhat is big data? -- Applying big data to busines problems: a sampling of use cases -- Boost your big data IQ: the IBM big data platform -- A big data platform for high-performance deep analytics: IBM PureData Systems -- IBM Enterprise Hadoop: InfoSphere BigInsights -- Real-time analytic processing with InfoSphere streams -- If data is the new oil--you need data exploration and discovery -- Differentiate yourself with text analytics -- The IBM big data analytic accelerators -- To govern or not to govern: governance in a big data world -- Integrating big data in the enterprise.
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!"-- cover.
650		0	_aElectronic data processing _xDistributed processing. _91442
650		0	_aFile organization (Computer science) _910724
650		0	_aData mining. _9491
700	1		_aZikopoulos, Paul C. _914547
942			_2lcc _cBook _01291
999			_c7823 _d7823