Assume that you are the proud owner of a gold mine, but you are unable to extract the gold from it. So, what’s the point of owning something? Is this the case? The situation is the same with Big Data.
It is pointless to collect troves of data if you are unable to churn it and extract the knowledge hidden behind it. Data visualization tools are the precise weapons you need to overcome this problem. These technologies provide us with a proliferation of insights into the data obtained. Google and Microsoft, for instance, gather and utilize Big Data to shape the future of their commercial operations.
Today, we’ll look at some of the most popular Big Data Visualization tools.
Google is a clear benchmark and is well renowned for the user-friendliness of its products, and the Google chart is no exception. It is one of the most user-friendly tools for displaying large data sets. Google Chart has a large collection of chart galleries, ranging from a simple line graph to a complicated hierarchical tree-like structure, and you may choose any of them that meet your needs. Furthermore, the most crucial aspect of developing a chart is customization, which is very limited to Google charts. If you want to go deep, you may always ask for technical assistance.
It displays the chart in HTML5/SVG format and is browser-independent. In addition, it has embraced VML for supporting outdated IE browsers, which is cross-platform compatible, transferable to iOS, and the new Android version. The data from the chart may be readily exported to PNG format.
As a result, Google Chart is quite effective at managing real-time data. You can also combine data from other Google products, such as Google Maps, with your current data to create an interactive chart, which you can manage from an interactive dashboard. Furthermore, the service is completely free and has the full support of Google.
This desktop is a fantastic data visualization application (SaaS) for manipulating large amounts of data that is free to use. It also includes two further editions, "Tableau Server" and "Tableau Online," which are specifically built for large data-related organizations.