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- W2891650191 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." @default.
- W2891650191 created "2018-09-27" @default.
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- W2891650191 date "2016-01-01" @default.
- W2891650191 modified "2023-09-24" @default.
- W2891650191 title "A BUSINESS INTELLIGENCE BASED NOVEL FRAMEWORK FOR BIG DATA ANALYSIS" @default.
- W2891650191 doi "https://doi.org/10.26483/ijarcs.v7i6.2734" @default.
- W2891650191 hasPublicationYear "2016" @default.
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