Big data, or huge amount of data, means that the amount of data involved is so large that it can't be captured, managed, processed and sorted out within a reasonable time by current mainstream software tools to help enterprises make more active business decisions.
In The Age of Big Data written by Victor Meyer Schoenberg and Kenneth Cookeye, big data means that all data are used for analysis and processing, and there is no shortcut to random analysis (sampling survey). [2] Big data induction has five characteristics: volume (mass), speed (high speed), diversity (diversity), value (low-value density) and authenticity.
Big data structure:
Big data includes structured, semi-structured and unstructured data, and unstructured data is increasingly becoming the main part of data. According to IDC's investigation report, 80% of the data in an enterprise is unstructured data, and these data increase exponentially by 60% every year.
Big data is just a representation or feature of the development of the Internet at this stage. There is no need to myth it or keep it in awe. Under the background of technological innovation represented by cloud computing, these data, which seemed to be difficult to collect and use, began to be used easily. Through continuous innovation in all walks of life, big data will gradually create more value for mankind.