Big Data analytics

Proceedings - 2012 International Conference on Communication, Information and Computing Technology, ICCICT 2012

Volumn , Issue , 2012, Pages

  Singh, Sachchidanand ^a   Singh, Nirmala ^b  

^a IBM INDIA RESEARCH LAB   (India)

^b Mahindra Satyam   (India)

Author keywords

Data warehousing as a Service (DaaS); InfoSphere BigInsights; Massively Parallel Processing (MPP); Omne optimizer SAND Analytic Platform; ParAccel Analytic Database (PADB); WX2

Indexed keywords

DATA-WAREHOUSING-AS-A SERVICE (DAAS); INFOSPHERE; MASSIVELY PARALLEL PROCESSING; OPTIMIZERS; PARACCEL ANALYTIC DATABASE (PADB); WX2;

COMMUNICATION;

EID: 84873128864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCICT.2012.6398180     Document Type: Conference Paper

References (9)

1. Improving Decision Making in the World of Big Data http://www.forbes.com/ sites/christopherfrank/2012/03/25/improving-decision-making-in-the-world-of-big- data/
2. World's data will grow by 50X in next decade, IDC study predicts http://www.computerworld.com/s/article/9217988/World-s-data-will-grow-by-50X-in- next-decade-IDC-study-predicts
3. The 2011 Digital Universe Study: Extracting Value from Chaos http://www.emc.com/collateral/demos/microsites/emc-digital-universe-2011/index. htm
4. Kognitio WX2 overview http://www.dbms2.com/2008/01/26/kognitio-wx2/
5. IDC Releases First Worldwide Big Data Technology and Services Market Forecast, Shows Big Data as the Next Essential Capability and a Foundation for the Intelligent Economy http://outsourcing.ulitzer.com/node/2195534
6. Gartner Hype Cycle 2012 for Emerging Technologies http://sembassy.com/wp- content/uploads/2011/10/gartner-hype-cycle-2012.gif
7. Gartner Hype Cycle 2012 http://www.gartner.com/id=2065716
8. Big data: The next frontier for innovation, competition and productivity http://www.mckinsey.com/Insights/MGI/Research/Technology-and-Innovation/ Big-data-The-next-frontier-for-innovation
9. Big data: The next frontier for competition http://www.mckinsey.com/ features/big-data