ITIL 4 Foundation Practice Exam 2025 - Free ITIL 4 Practice Questions and Study Guide

The term 'big data' refers to large volumes of structured and unstructured data that cannot be processed or analyzed effectively using traditional data processing tools. This concept encompasses the vast amounts of data generated by various sources, including social media, sensors, devices, and more, which require advanced techniques and technologies for storage, analysis, and visualization.

Big data is characterized by the three Vs: volume, variety, and velocity. The volume refers to the vast amounts of data being generated, variety indicates the diverse types and formats of the data, and velocity highlights the speed at which this data must be processed and analyzed to derive meaningful insights.

Understanding big data is essential in today's data-driven environment, as it enables organizations to identify trends, make informed decisions, and gain a competitive edge. This concept does not pertain to small data sets or data that is not fully analyzable, nor is it limited to data derived solely from social media sources. Instead, it encompasses a much broader spectrum of data from various origins and formats.