The big data era: Examples in the book are a bit interesting, but the theory of export seems to have fallen into the Russell paradox.

 

This book provides many examples of big data applications to illustrate the characteristics of the big data era: due to technological advances, you can use all data instead of sample data for analysis and judgment; data is difficult to be accurate; causal relationships are not important, and relevant relationships are more important;

Examples of big data applications in the book are interesting. As for the above three inferences, my personal feeling is average. In addition, the first inference "we should use full data instead of sample data for analysis and judgment" seems to have become Russell's paradox: If this inference is true, the author apparently did not see all the application cases in the Age of big data. Obviously, this conclusion cannot be drawn :)