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Visualization Analytics for Big Data


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1 Manipal University Jaipur, School of Computing & Information Technology, Jaipur-303007, India
     

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This Paper presents the analysis technique which was operated on data sets refers to big data analytics and is classified as "Big Data". The next generation of data warehousing and business analytics is Big Data and is poised to deliver top line revenues cost efficiently for enterprises. Visualizing data is a technique to facilitate the identification of patterns in data and presenting data to make it more consumable. Charts, graphs, and dashboards have been used for decades to synthesize data into a cohesive and comprehensible format for business analysts, managers, and executives. These techniques have been used to differentiate the contexts and intents of the data to be visualized. Intents like Describing and Reporting. New techniques and tools are emerging that utilize exciting new visualization and animations to visually depict a story about data that far exceeds the standard charts, graphs, and dashboards. An evolving term, data artisans, describe people who create these new and dynamic visualizations.

Keywords

Big Data, Big Data Analytics, Visualization, Business Analytics.
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  • Visualization Analytics for Big Data

Abstract Views: 252  |  PDF Views: 2

Authors

Trapti Sharma
Manipal University Jaipur, School of Computing & Information Technology, Jaipur-303007, India
Devesh Kumar Srivastava
Manipal University Jaipur, School of Computing & Information Technology, Jaipur-303007, India

Abstract


This Paper presents the analysis technique which was operated on data sets refers to big data analytics and is classified as "Big Data". The next generation of data warehousing and business analytics is Big Data and is poised to deliver top line revenues cost efficiently for enterprises. Visualizing data is a technique to facilitate the identification of patterns in data and presenting data to make it more consumable. Charts, graphs, and dashboards have been used for decades to synthesize data into a cohesive and comprehensible format for business analysts, managers, and executives. These techniques have been used to differentiate the contexts and intents of the data to be visualized. Intents like Describing and Reporting. New techniques and tools are emerging that utilize exciting new visualization and animations to visually depict a story about data that far exceeds the standard charts, graphs, and dashboards. An evolving term, data artisans, describe people who create these new and dynamic visualizations.

Keywords


Big Data, Big Data Analytics, Visualization, Business Analytics.