Security Challenges in Big Data Analytics

  • Amandeep Kaur, Prabhsharan Kaur, Saranjeet Kaur

Abstract

Big data can be explained as enormous quantity of data which requires advance technologies so as to
develop a system to fetch the values from that data and observe that data. Big data can be depicted as
the gigantic aggregate of data that feels the necessity for new advances and plans with the objective
that it moves towards becoming conceivable to get a value from it by catching an examination
process. There are various challenges to the Big Data because of its properties like volume, variety
and velocity. One more challenges that is correlated with the Big Data is the quality management of
the data that is collected, which can be in the formatof text, image, video and audio. Though there are
enormous number of models are existing for managing the quality of regular data, but there are no
such models are available for managing the quality of Big Data. These models can result into the
quality and the quality level indicates the level of integrity and correctness of Big Data.

Published
2020-05-20
How to Cite
Amandeep Kaur, Prabhsharan Kaur, Saranjeet Kaur. (2020). Security Challenges in Big Data Analytics. International Journal of Advanced Science and Technology, 29(10s), 2434-2438. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/16883
Section
Articles