What is the origin of big data?

The origin of big data is the "Internet". The big data industry refers to the information service industry based on data storage, value extraction, intelligent processing and distribution based on the collection of a large number of data resources from a wide range of channels such as the Internet, Internet of Things, and cloud computing.

#The origin of big data is the "Internet".

With the advancement of intelligent manufacturing, artificial intelligence technology has also developed rapidly, and the biggest application of big data is reflected in artificial intelligence technology, because big data emphasizes not causality, but It is a correlation relationship. Through the analysis of a series of data, we can determine whether there is any correlation and promote the advancement of intelligent manufacturing. This article will popularize the ins and outs of "big data".

The concept of big data originally originated in the United States and was developed through initiatives by companies such as Cisco, VMware, Oracle, and IBM. Starting around 2009, “big data” became a buzzword in the Internet information technology industry. In fact, the big data industry refers to the information service industry based on data storage, value extraction, intelligent processing and distribution based on the collection of a large number of data resources through a wide range of channels such as the Internet, Internet of Things, and cloud computing. Most big data companies are dedicated to Empower all users to gain actionable insights from virtually any data, including insights previously hidden in unstructured data.

The first institution to propose that "the era of big data has arrived" was the world-renowned consulting firm McKinsey. In 2011, McKinsey pointed out in a research report titled "Massive Data, the Next New Area for Innovation, Competition, and Increased Productivity" that data has penetrated into every industry and business function area and has gradually become an important production factor; The use of massive amounts of data will herald a new wave of productivity growth and consumer surplus.

Big data is an evolving concept. Its current rise is because major changes have taken place from IT technology to data accumulation. In just a few years, big data has evolved from a professional term spoken by executives of large Internet companies to a major technical proposition that determines our future digital lifestyle. In 2012, the United Nations published a big data government white paper "Big Data for Development: Challenges and Opportunities"; multinational IT giants such as EMC, IBM, and Oracle have released big data strategies and products; almost all world-class Internet companies have extended their business reach to the big data industry; whether it is social platform competition, e-commerce price war or portal competition, it has its shadow; the US government invested US$200 million to launch the "Big Data Research and Development Plan", and raised big data to a national strategic level . In 2013, big data is transforming from a technical hot word into a social wave that will affect all aspects of social life.

About the origin of the concept of "big data"

1. The name of "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" "Praised as "the cadenza of the third wave." "Nature" magazine launched a cover column called "Big Data" in September 2008. Since 2009, “big data” has become a buzzword in the Internet technology industry.

2. The earliest application of "big data" was McKinsey.

The idea of ​​collecting and analyzing "big data" came from the world-famous management consulting firm McKinsey. McKinsey & Company saw the potential commercial value of the 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.

3. The characteristics of "big data" were proposed by Victor Maier-Schoenberg and Kenneth Cukier in "The Era of Big Data"

Victor Maier In "The Era of Big Data" written by Schonberger and Kenneth Kaye, it is proposed that the 4V characteristics of "big data" are: Volume (large amount of data), Velocity (fast input and processing speed), Variety (diversity of data) sex), Value (low value density). These characteristics are basically recognized by everyone. Articles that mention the characteristics of "big data" basically use these four characteristics.

4. Only after the emergence of cloud computing did "big data" highlight its true value

Since the emergence of cloud computing servers, "big data" has a track that can run and can be realized its true value. Some people vividly compare various "big data" applications to "cars", and the "highway" that supports the operation of these "cars" is cloud computing. The most famous example is the Google search engine. Faced with massive amounts of Web data, Google first proposed the concept of cloud computing in 2006. What supports various "big data" applications within Google is the cloud computing server developed by Google itself.

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