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999 _c48286
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003 CITU
005 20230925103845.0
008 140124s2013 nyua 000 0 eng d
010 _a 2013444424
020 _a9780071808170 (pbk.)
020 _a0071808175 (pbk.)
035 _a(OCoLC)ocn829742565
040 _aSISPL
_cSISPL
_dSISPL
_dYDXCP
_dBWX
_dTUU
_dBTCTA
_dDLC
041 _aeng
042 _alccopycat
050 0 0 _aQA76.9.D5
_bH37 2013
082 _a006.312
_223
100 1 _aZikopoulos, Paul C.
_eauthor
245 0 0 _aHarness the power of Big Data :
_bthe IBM Big Data platform /
_cPaul C. Zikopoulos ... [et al.].
264 1 _aNew York :
_bMcGraw-Hill,
_c[2013]
264 4 _cc2013
300 _axxx, 248 p. :
_bill. ;
_c23 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
505 0 _aPart 1: The Big Deal about Big Data. 1. What is Big Data? -- 2. Applying Big Data to Business Problems: A Sampling of Use Cases -- 3. Boost Your Big Data IQ: The IBM Big Data Platform. Part II: Analytics for Big Data at Rest. 4. A Big Data Platform for High-Performance Deep Analytics: IBM Puredata Systems-- 5. IBM Enterprise Hadoop: Infosphere BigInsights. Part III: Analytics for Big Data In-Motion. 6. Real-Time Analytic Processing With Infosphere Streams. Part IV: Unlocking Big Data. 7. If Data Is The New Oil. Part V: Big Data Analytic Accelerators. 8. Differentiate Yourself With Text Analytics -- 9. The IBM Big Data Analytic Accelerators. Part VI: Integration and Governance in a Big Data World. 10. To Govern Or Not To Govern: Governance In A Big Data World -- 11. 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!"--
_ccover
650 0 _aElectronic data processing
_xDistributed processing.
650 0 _aFile organization (Computer science)
650 0 _aData mining.
700 1 _adeRoos, Dirk.
_eauthor
700 1 _aParasuraman, Krishnan.
_eauthor
700 1 _aDeutsch, Thomas.
_eauthor
700 1 _aCorrigan, David.
_eauthor
700 1 _aGiles, James.
_eauthor
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_01