Table 1 Commonly used approach in related work
From: Big data monetization throughout Big Data Value Chain: a comprehensive review
Characteristic | Description |
|---|---|
Volume | It refers to the size of data collected from different types of sources. Here, data is no longer represented by a few terabytes, but many petabytes. The bigger it is, the bigger is the insight we can mine |
Velocity | It refers to the speed at which data is generated, stored and processed |
Variety | Is one of the most challenges of Big Data. It concerns data produced from various sources, both internal and external. Data can be in different format; structured, semi-structured or unstructured |
Veracity | It concerns anomalies and uncertainties in data, due to inconsistencies and incompleteness. The process of precluding bad data is therefore important to extract reliable insights |
Variability | It is different from variety; it refers to data whose meaning is constantly changing |
Visualization | Is the process of illustrating relationships within large amounts of complex data in a readable manner |
Value | It refers to the information and insights that data provides |