A SURVEY ON BIG DATA PRIVACY USING HADOOP ARCHITECTURE
A.KANIMOZHI
, Dr. N.VIMALA
Big Data, Hadoop, HDFS, MapReduce, Hadoop Components, Hive, NoSQL, Hpcc
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]
"A SURVEY ON BIG DATA PRIVACY USING HADOOP ARCHITECTURE", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.70 - 77, July-2019, Available :https://ijsdr.org/papers/IJSDR1907014.pdf
Volume 4
Issue 7,
July-2019
Pages : 70 - 77
Paper Reg. ID: IJSDR_190759
Published Paper Id: IJSDR1907014
Downloads: 000347171
Research Area: Engineering
Country: coimbatore, tamil nadu, india
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
