We can look at four important dimensions to define and distinguish big data:
1. Volume – the amount of data: Volume refers to the mass quantities of data that continue to increase though vary by industry and geographic locations.
2. Variety – different types of data: Variety of structured, semi-structured, and unstructured data and data sources (traditional and non-traditional sources from within and outside an organization). They include texts, web data, tweets, sensor data, audios, videos, click streams, log files, etc.
3. Velocity – data in motion: Velocity concerns the speed with which data is created, processed, and analyzed. It continues to accelerate with data created real-time. This enables decision making to be made instantly such as real-time fraud detection instead of detecting fraud after it takes place.
4. Veracity – data uncertainty: Veracity refers to the reliability of certain types of data. For example, weather and customers’ sentiments are inherently unpredictable.