Data process and analysis technologies of big data

Mayer-Schonberger and Cukier define Big Data as 'the ability of society to harness informationin novel ways to produce useful insights or goods and services of significant value [1].' Throughout the current literature, Big Data is usually defined by the three Vs: volume, velocity, and variety. Volume refers to the large amount of data. 'Large' ranges from gigabytes to petabytes. Typically, the volume increases, but the data itself does not change. Velocity refers to the speed at which the data volume grows. For instance, on Facebook more than 500â•–TB of data is created daily [2]. Variety describes the data types in Big Data. Big Data usually consists of structured, semistructured, and unstructured data. Big Data requires all 3â•–Vs to apply (Figure 6.1)