The chart data can be easily exported to PNG format. Added to this, it also has adopted VML for supporting old IE browsers and that’s also cross-platform compatible, and portable to iOS, and the new release of Android. It renders the chart in HTML5/SVG format and it is cross-browser compatible. You can always ask for some technical help if you want to dig deep. Moreover, the most important part while designing a chart is customization and with Google charts, it’s fairly Spartan. Google chart holds a wide range of chart galleries, from a simple line graph to a complex hierarchical tree-like structure and you can use any of them that fits your requirement. It is one of the easiest tools for visualizing huge data sets. Google is an obvious benchmark and well known for the user-friendliness offered by its products and Google chart is not an exception. Today, we will discuss some of these popular visualization tools for big data. Big names like Google and Microsoft collect and manipulate big data to design the future of their business strategies. These tools show us various insights into the collected data. To resolve this issue, data visualization tools are the exact weapons you need. There is no point in collecting large chunks of big data if you fail to churn it and harness the information lying beneath it. So, what’s the point in being the owner? Is there any? The condition is the same with big data. Let’s say you are a proud owner of a gold mine but you can’t harness the gold from that mine. Oracle Visual Analyzer Big Data Visualization Tools for Businesses and internationally, and is used herein with permission. GARTNER and Magic Quadrant are a registered trademark and service mark of Gartner, Inc.

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