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\begin{document}
	

\begin{abstract}
	            Big Data analytics plays a key role through reducing the data size and complexity in Big Data applications. Visualization is an important approach to helping Big Data get a complete view of data and discover data values. Big Data analytics and visualization should be integrated seamlessly so that they work best in Big Data applications. Conventional data visualization methods as well as the extension of some conventional methods to Big Data applications are introduced in this paper. This report presents the recent methods used in Bigdata visualization ,it's applications , technological progress and challenges involved.
\end{abstract}

\tableofcontents
\listoffigures

\chapter{INTRODUCTION}
\input{chapters/introduction.tex}

\chapter{BIG DATA ANALYTICS}
\input{chapters/bigdataanalytics.tex}

\chapter{DATA VISUALIZATION METHODS}
\input{chapters/datavisualizationmethods.tex}

\chapter{BIG DATA VISUALIZATION AND CHALLENGES}
\input{chapters/bigdatavisualizationandchallenges]}

\chapter{PROGRESS OF BIGDATA VISUALIZATION}
\input{chapters/progressbigdata}

\chapter{CONCLUSION}
\input{chapters/conclution}

\input{chapters/references}

\end{document}