Big Data Analysis and Deterministic Encryption Challenges

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PDF (Integrated Series in Information Systems 36) Shan Suthaharan (auth.)-Machine Learning Models and Algorithms for Big Data C
Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4105
Keywords:
Big-Data, Structured data, Un-Structured data, Random Encryption, Deterministic Encryption

Main Article Content

Aasim Shafi
SSM College of Engineering and Technology , J&K ,India
Sahila Fareed Shah
SSM College of Engineering & Technology, j&k, India

Abstract

Over the past decade, big data analysis has seen an exponential growth and will certainly continue to witness spectacular developments due to the emergence of new interactive multimedia applications and highly integrated systems driven by the rapid growth in information services and microelectronic devices. Up to yet, large no. of the existing mobile systems is mainly targeted to voice communications with low transmission rates. Big-Data has always been a part of our lives knowingly or unknowingly. This is a review on accessible big-data systems that include a set of tools and technique to load, extract, and improve dissimilar data while leveraging the immensely parallel processing power to perform complex transformations and analysis. Big-Data†technology faces a list of technical challenges.

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Article Details

Issue
Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

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References

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