Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Date Added: Oct 2015
Due to increased and varying size of big data it becomes difficult to store, process and analyze. The size of big data can be petabytes (1024 terabytes) or exabytes (1024 petabytes) of data consisting of billions to trillions of records of millions of people all from different sources (e.g. Web, sales, customer contact center, social media, mobile data and so on). So the processing of data is done by visualizing it. Big data visualization is useful analyzing different types of big data. There are several limitations of big data visualization using traditional reduction methods like sampling, filtering and aggregation.