NDLI: Prominence of MapReduce in Big Data Processing

Content Provider	IEEE Xplore Digital Library
Author	Pandey, S. Tokekar, V.
Copyright Year	2014
Description	Author affiliation: Inst. of Eng. & Technol., Indore, India (Tokekar, V.) \|\| Shri Vaishnav Inst. of Tech. & Sci., Indore, India (Pandey, S.)
Abstract	Big Data has come up with aureate haste and a clef enabler for the social business, Big Data gifts an opportunity to create extraordinary business advantage and better service delivery. Big Data is bringing a positive change in the decision making process of various business organizations. With the several offerings Big Data has come up with several issues and challenges which are related to the Big Data Management, Big Data processing and Big Data analysis. Big Data is having challenges related to volume, velocity and variety. Big Data has 3Vs Volume means large amount of data, Velocity means data arrives at high speed, Variety means data comes from heterogeneous resources. In Big Data definition, Big means a dataset which makes data concept to grow so much that it becomes difficult to manage it by using existing data management concepts and tools. Map Reduce is playing a very significant role in processing of Big Data. This paper includes a brief about Big Data and its related issues, emphasizes on role of MapReduce in Big Data processing. MapReduce is elastic scalable, efficient and fault tolerant for analysing a large set of data, highlights the features of MapReduce in comparison of other design model which makes it popular tool for processing large scale data. Analysis of performance factors of MapReduce shows that elimination of their inverse effect by optimization improves the performance of Map Reduce.
Sponsorship	IEEE Comput. Soc.
Starting Page	555
Ending Page	560
File Size	240023
Page Count	6
File Format	PDF
e-ISBN	9781479930708
DOI	10.1109/CSNT.2014.117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Google file System Hadoop Programming Big Data Data models Hadoop Distributed File System Indexes Engines MapReduce
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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