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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Volume 7 | Issue 8

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Paper Title: A SURVEY ON BIG DATA PRIVACY USING HADOOP ARCHITECTURE
Authors Name: A.KANIMOZHI , Dr. N.VIMALA
Unique Id: IJSDR1907014
Published In: Volume 4 Issue 7, July-2019
Abstract: Big data is the term for any gathering of datasets so vast and complex that it gets to be distinctly troublesome to process using traditional data processing applications. The challenges include analysis, catch, sharing, stockpiling, exchange, perception, and security infringement. It is a set of techniques and technologies that require new forms of integration to uncover huge concealed qualities from substantial datasets that are assorted, complex, and of a huge scale. This environment is used to acquire, organize and analyze the various types of data. For such data-intensive applications, the Apache Hadoop Framework has recently attracted a lot of attention. This framework Adopted MapReduce, it is a programming model and a related execution for preparing and producing large data sets. The technologies used by big data application to handle the massive data are Hadoop, Map Reduce, Apache Hive, No SQL and HPCC. This paper refer privacy and security aspects healthcare in big data and also randomization, theoretical limits associated with privateness-preservation over immoderate dimensional records sets. This hadoop architecture handles data loses and intermediate data capturing by hadoop online prototype. Finally this survey deals with parallel processing with massive data sets and capturing, managing within a time perod.[1]
Keywords: Big Data, Hadoop, HDFS, MapReduce, Hadoop Components, Hive, NoSQL, Hpcc
Cite Article: "A SURVEY ON BIG DATA PRIVACY USING HADOOP ARCHITECTURE", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 7, page no.70 - 77, July-2019, Available :http://www.ijsdr.org/papers/IJSDR1907014.pdf
Downloads: 000101773
Publication Details: Published Paper ID: IJSDR1907014
Registration ID:190759
Published In: Volume 4 Issue 7, July-2019
DOI (Digital Object Identifier):
Page No: 70 - 77
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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