A BUSINESS INTELLIGENCE BASED NOVEL FRAMEWORK FOR BIG DATA ANALYSIS

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.). T...

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Bibliographic Details
Published in:International journal of advanced research in computer science 2016-11, Vol.7 (6)
Main Authors: Kaur, Chandanjit, Singh, Er Prabhdeep, Kang, Sandeep Singh
Format: Article
Language:English
Subjects:
Analytics
Big Data
Business intelligence
Computer science
Data analysis
Data management
Data warehouses
Datasets
Digital data
Digital imaging
Digital media
Digital technology
Electronic commerce
Information management
Information technology
Intelligence (information)
Marketing
Open source software
Order quantity
Social networks
Technology assessment
Unstructured data
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Summary: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).
ISSN:0976-5697