Big Data and Clustering Techniques

Big Data

Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale (Hashem, 2015).

• 1.

  Volume refers to the amount of all types of data generated from different sources and continue to expand. The benefit of gathering large amounts of data includes the creation of hidden information and patterns through data analysis

• 2.

  Variety refers to the different types of data collected through sensors, smartphones, or social networks. Such data types include video, image, text, audio, and data logs, in either structured or unstructured format.

• 3.

  Velocity refers to the speed of data transfer. The contents of data constantly change because of the absorption of complementary data collections, introduction of previously archived data or legacy collections, and streamed data arriving from multiple sources (Berman, 2013).

• 4.

  Value refers to the process of discovering huge hidden values from large datasets with various types and rapid generation (Chen, 2014).