UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 3
March-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701523


Registration ID:
309276

Page Number

777-783

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Title

Significance of developing Multiple Big Data Analytics Platforms with Rapid Response

Authors

Abstract

This paper looks at how multiple big data platforms can be very important in achieving the best outcome when used in rapid response operations. Big data analytics and technological innovation place a strain on traditional data governance processes, creating a slew of complex issues inside corporations. However, a governed data lake demonstrates how this can be accomplished [1]. The most difficult aspect of integrating different systems is figuring out how to adjust to their unique programming capabilities to complete tasks as quickly as possible to achieve the best results. This paper introduces the latest big data analytics platforms for a rapid response which integrates large-scale data frameworks like RHadoop and SparkR to build high-performance, multi-platform, Big Data analysis for rapid data collection and R-programming analysis [1]. The goal is to improve work scheduling optimization using the big data analytics platforms and to apply the customized device selection based on ascertaining capabilities to significantly boost system performance. Furthermore, rather than running Java or Scala programs, users will issue R commands to conduct data extraction and analytics in the presented platforms [1]. As a consequence, while the configured data analytics platform selection will greatly minimize data extraction and analysis period, and as per the output index measured for different approaches, planned optimization almost certainly improves device reliability considerably.

Key Words

Big data, Analytics, Hadoop, Spark, RHadoop

Cite This Article

"Significance of developing Multiple Big Data Analytics Platforms with Rapid Response", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.777-783, March-2015, Available :http://www.jetir.org/papers/JETIR1701523.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Significance of developing Multiple Big Data Analytics Platforms with Rapid Response", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp777-783, March-2015, Available at : http://www.jetir.org/papers/JETIR1701523.pdf

Publication Details

Published Paper ID: JETIR1701523
Registration ID: 309276
Published In: Volume 2 | Issue 3 | Year March-2015
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.26947
Page No: 777-783
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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