A BUSINESS INTELLIGENCE BASED NOVEL FRAMEWORK FOR BIG DATA ANALYSIS

Chandanjit Kaur, Er. Prabhdeep Singh, Dr. Sandeep Singh Kang

Abstract


Due to the different connotations (ideas) of Big
Data, there are different definitions of Big Data. In today’s
technical era, the advent of technology leads to an explosive
increase in digital data (like posts on social media,
transaction records, GPS signals, digital images and videos
etc.). The Data can be structured, unstructured (like XML)
and semi-structured. It is easy to manipulate structured or
traditional data that centralized in nature and present in
Gigabytes, Terabytes whereas the Big Data which is
distributed in nature and present in Petabytes (1015 bytes),
Exabytes (1018 bytes), Zettabytes (1021 bytes or 1012 GB),
Yottabytes (1024 bytes) raise the data warehousing cost. Big
Data refers to enormous datasets which act as a key to many
business operations. Therefore, there is a need to utilize
such enormous data that are formidable (difficult) to gather,
manipulate and processed by traditional information
technology and to ensure its efficient storage. This paper
demonstrates a close-up view of Big Data visual analytics as
well as technology adapts to deal with its problems like data
deluge (a large amount of data come at the same time).

 

Keywords: Big Data, Business Intelligence, Big
Data Analysis, Visual analysis, Data cleaning.


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DOI: https://doi.org/10.26483/ijarcs.v7i6.2734

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