When it comes to big data, it is very important how to help users better understand data and information in massive data, grasp the value behind it and make data-driven decisions.
The quality of information depends largely on its presentation. After data acquisition and storage, it is required to analyze and process them, and present results more efficiently, so as to better understand data and information. So how to better present data?
Data visualization combines data analytics with graphics to interpret and convey analytical results clearly and effectively.
Log into the platform, select data sources, and create visual analytics in minutes.
files, cloud native data sources or local databases.
create visual content dynamically based on selected fields
Fast, parallel computing engines, to analyze and query data quickly, and generate visual content
Support various presentation methods, including combination charts, heat maps and tree maps, pivot tables, etc.