DocumentCode :
2767179
Title :
Big Data analytics
Author :
Singh, Sachchidanand ; Singh, Nirmala
Author_Institution :
Bus. Analytics Div., IBM India Software Lab. (ISL), Pune, India
fYear :
2012
fDate :
19-20 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we explain the concept, characteristics & need of Big Data & different offerings available in the market to explore unstructured large data. This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion. Our analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business. The insights gained from the user generated online contents and collaboration with customers is critical for success in the age of social media.
Keywords :
business data processing; data analysis; data structures; data visualisation; social networking (online); big data analytics; customer success story; entry-&-exit criteria; product selection; social business; social media; unstructured large data; user generated online collaboration; user generated online contents; vendor selection; Computers; Data handling; Data storage systems; Databases; Information management; Media; Data-warehousing-as-a Service (DaaS); InfoSphere BigInsights; Massively Parallel Processing (MPP); Omne optimizer & SAND Analytic Platform; ParAccel Analytic Database (PADB); WX2;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
Type :
conf
DOI :
10.1109/ICCICT.2012.6398180
Filename :
6398180
Link To Document :
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