{"id":63464,"date":"2020-06-01T00:00:00","date_gmt":"2020-06-01T00:00:00","guid":{"rendered":"https:\/\/rockcontent.com\/blog\/big-data-visualization\/"},"modified":"2025-09-09T22:44:44","modified_gmt":"2025-09-10T01:44:44","slug":"big-data-visualization","status":"publish","type":"post","link":"https:\/\/pingback.com\/en\/resources\/big-data-visualization\/","title":{"rendered":"Big data visualization: what it is, techniques and best tools"},"content":{"rendered":"

Big data visualization is a remarkably powerful business capability<\/strong>.<\/p>\n

According to IBM, every day, 2.5 quintillion bytes of data are created<\/a> from social media, sensors, webpages, and all kinds of management systems are using it to control the business processes.<\/p>\n

By helping correlations between thousands of variables available in the big data world, technologies could present massive amounts of data in an understanding way, which means Big Data visualization initiatives combine IT and management projects.<\/p>\n

In this article, we will address data and how its visual representation<\/a> should move together to ensure it is effectively employed.<\/p>\n

You will see the following topics:<\/p>\n

What is Big Data visualization?<\/h2>\n

A defining characteristic of Big Data is volume.<\/p>\n

Today’s companies collect and store vast amounts of information that would take years for a human to read and understand.<\/p>\n

Visualization resources rely on powerful tools to interpret raw data and process it to generate visual representations<\/strong> that allow humans to take in and understand enormous amounts of data in a few minutes.<\/p>\n

Big Data visualization describes data of almost any type \u2014 numbers, trigonometric function, linear algebra, geometric, basic, or statistical algorithms \u2014 in a visual basis format \u2014 coding, reports<\/a> analytics, graphical interaction \u2014 that makes it easy to understand and interpret. <\/p>\n

Thus, it goes far beyond typical graphs, bubble plots, histograms, pie, and donut charts to more complex representations like heat maps and box and whisker plots, enabling decision-makers to explore data sets to identify correlations or unexpected patterns.<\/p>\n

Why is it important to have a good method of visualization?<\/h2>\n

The amount of data is growing every year thanks to the Internet and innovations such as operational systems, sensors, and the Internet of Things.<\/p>\n

The problem for companies is that data is only useful if valuable insights can be extracted from large amounts of raw data<\/strong> and read by who can analyze them \u2014 data literacy<\/a> in near real-time.<\/p>\n

Big Data visualization techniques are important because they:<\/p>\n