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
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