Big Data analysis is the enormous size of the data for analysis.
Data visualization is a data analysis tool basic requirement. Data visualization to simplify complex data, allowing data to demonstrate their own worth, users see and understand. In-depth data analysis algorithms internal data, data mining, reflect the value of big data. Help users better understand the data, the user according to the judgment results of predictive analysis and visualization of data mining.
In the application process big data analysis, visualization to help people explore and understand complex data through interactive visual performance. Visualization and visual analytics quickly and effectively simplify and refine data flow to help users interact filter large amounts of data, faster and better help users get new discovery from complex data, users understand complex data to be carried out depth analysis of the indispensable means. Visualization is mainly based on large-scale data parallel algorithms art design, rational use of limited computing resources, efficient processing and analysis of the characteristics of the particular data set.
Standardized processes and tools ensure that data can be processed by a pre-defined quality analysis results. Because of the diversity of unstructured data has brought new challenges for data analysis, users need a range of tools to parse, extract, analyze the data. Data analysis tools not only have the ability to handle large data, but also fast enough processing speed.
Fan Ying statement analysis tools can collect big data analysis and processing, easy to understand visual display of the data change, providing the user with predictive basis. Visualization of data can also be linked, in-depth data mining, accurate understanding of the nature of the data, the data becomes a real driving force for enterprise development.
