Participating in big data training is naturally reliable in mastering technology. But it is difficult to choose a reliable big data training class. There are two main ways to learn big data, one is self-study and the other is to report to a big data training class. If self-study ability and understanding are good, then self-study is ok.

If my self-study ability is not very good, I am a zero-based or non-professional class. In fact, it is recommended to attend a big data training class.

Introduction to Big Data:

Big data, or huge amount of data, refers to the information that involves so much data that it cannot be captured, managed, processed and sorted in a reasonable time to help enterprises make more active business decisions.

In The Age of Big Data, co-authored 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). 5V characteristics of big data (proposed by IBM): volume (mass), speed (high speed), diversity (diversity), value (low value density) and authenticity.