A Multidata Connection Scheme for Big Data High-Dimension Using the Data Connection Coefficient

Table 1

Four elements of big data.

Element	Descriptions
Volume increases	(i) Digital information is growing exponentially along with the advance of IT; (ii) Enter the zettabyte era
Variety increases	(i) Data collection can be from varied sources and forms (e.g., activity logs, text posted on social media, spatial data, and physical event data); (ii) The diversity of unstructured data grows (e.g., multimedia data)
Complexity increases	(i) Data that does not fit the structures of formal database architectures, incompatible data storage formats, redundancy, and so forth; (ii) The complexity of data management grows due to the diversity of data types, forms, and sources; (iii) Advanced techniques are required to efficiently manage and process the data of high complexity
Velocity increases	(i) The increase of real-time data (object data, sensor monitoring data, streaming data, etc.); (ii) The speed of data generations and flows are fast-paced; (iii) Processing and analysis speed is vital to deal with huge volumes of data and to provide volatile information in time