Where does big data information come from? Why is it false

The concept of big data originally originated in the United States and was initiated and developed by companies such as Cisco, VMware, Oracle, and IBM. Starting around 2009, “big data” became a buzzword in the Internet information technology industry.

Big data is an evolving concept, and its current rise is because major changes have taken place from IT technology to data accumulation. In today's world, big data is everywhere. It affects our work, life and study, and will continue to exert a greater impact.

About the origin of the concept of "big data":

The name "big data" comes from "The Third Wave" written by futurist Toffler

Although the term "big data" has not received much attention until recently, as early as 1980, the famous futurist Toffler enthusiastically referred to "big data" in his book "The Third Wave". "Big Data" has been praised as "the cadenza of the third wave". "Nature" magazine launched a cover column called "Big Data" in September 2008. "Big data" has only become a hot word in the Internet technology industry since 2009.

The earliest application of "big data" was McKinsey. The idea of ??collecting and analyzing "big data" , from McKinsey & Company, a world-renowned management consulting firm. McKinsey & Company saw the potential commercial value of massive amounts of personal information recorded on various online platforms, so it invested a lot of manpower and material resources in research, and released a report on "Big Data" in June 2011. The report analyzed the impact of "Big Data" on The impact, key technologies and application areas are all analyzed in detail. McKinsey's report received great attention from the financial community, and then gradually attracted attention from all walks of life.

The characteristics of "big data" were proposed by Victor Meier-Schoenberg and Kenneth Cukier in "The Era of Big Data". "Big Data Era" written by Kenneth Kaye proposed: 4V characteristics of "big data":

Volume (large amount of data)

Velocity (fast input and processing speed) )

Variety (data diversity)

Value (low value density)