As data on the production and life more and more important, data analysis is becoming a school of learning, in various fields have played an important role. Then you understand the history of data analysis do?
Derived from the status of national statistics, probability theory ××× from birth comes, data analysis has laid a solid foundation. With the brightest Great God on stage, data analysis also ××× up from cholera geniuses Snow, to 祖南丁格尔 nursing, care about from the World War II Japanese suicide attacks, to a ball fame in the "Gold" in team manager, from business intelligence to corporate governance, from big data to artificial intelligence, data analysis almost everywhere.
Big data (big data), refers to the collection of data can not be captured, managed and treated with conventional software tools within a certain time frame, the new model requires processing in order to have greater decision-making power, strength and insight discovery process optimization capabilities of mass , high growth rates and diverse information assets.
In Victor Meyer - "the era of big data," written in Schoenberg and Kenneth Ku Keye large data refers not random analysis (sampling) this shortcut, and using all the data analysis and processing. 5V characteristics of big data (IBM proposed): Volume (a lot), Velocity (high-speed), Variety (diversity), Value (the value of low density), Veracity (authenticity).
If you want to learn more about big data Past and Present: A Brief History of Big Data
(This course is easy to understand, easy humor of the language of science data analysis development process of ups and downs, but also to their own personal experience shows how thinking has data, such as how to become a data analyst, hope for students interested in this can have some inspiration)
Speaking from Jieshengjishi
dubo gave birth to the theory of probability
Origins of the database - punch cards
Business Intelligence birth
Data explosion
Big Data Era
Big data analytics talent cultivation