000 02107cam a22002895a 4500
001 18285282
005 20160124150012.0
008 140829t2014 nyua fr 000 0 eng d
020 _a0071823492
020 _a9780071823494 (pbk.)
040 _aDLC
_beng
_cDLC
_dEG-ScBUE
082 0 4 _222
_a005.7565
_bDBB
245 0 0 _aDB2 10.5 with BLU Acceleration /
_cPaul Zikopoulos ... [et al.]
246 3 4 _aDBtwo 10.5 with BLU Acceleration :
_bnew dynamic in-memory analytics for the era of big data
260 _aNew York :
_bMcGraw-Hill Education,
_cc.2014.
300 _axx, 147 p. :
_bill. ;
_c23 cm.
520 _a"If big data is an untapped natural resource, how do you find the gold hidden within? Leaders realize that big data means all data, and are moving quickly to extract more value from both structured and unstructured application data. However, analyzing this data can prove costly and complex, especially while protecting the availability, performance and reliability of essential business applications. In the new era of big data, businesses require data systems that can blend always-available transactions with speed-of-thought analytics. DB2 10.5 with BLU Acceleration provides this speed, simplicity, and affordability while making it easier to build next-generation applications with NoSQL features, such as a mongo-styled JSON document store, a graph store, and more. Dynamic in-memory columnar processing and other innovations deliver faster insights from more data, and enhanced pureScale clustering technology delivers high-availability transactions with application-transparent scalability for business continuity. With this book, you'll learn about the power and flexibility of multiworkload, multi-platform database software."--
630 0 7 _aIBM Database 2.
_937965
650 7 _aDatabase management.
_2BUEsh
_911309
650 7 _aData mining.
_2BUEsh
_927695
650 7 _aBig data.
_2BUEsh
_936502
650 0 _aIBM Database 2
_937965
_2BUEsh
651 _2BUEsh
653 _bCOMSCI
_cAugust2015
_cJanuary2016
700 1 _aZikopoulos, Paul.
_939164
942 _2ddc
_k005.7565 DBT
999 _c20502
_d20474