Digitized Data Definition

Large data has penetrated into every industry and business functional area today, becoming an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. October 28, 2013, three Xinjiang terrorists driving a jeep to the Tiananmen Square, the terrorists were all burned on the spot, but the police spent only more than 10 hours to seize 5 associates. It's a state secret how quickly the police lock down suspects, but from the telltale signs of the media, we can still find ubiquitous surveillance video and telecom tracking ...

Baidu can know what we are concerned about, Taobao can insight into what we like, this is happy or worry? Large data has penetrated into every industry and business functional area today, becoming an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. October 28, 2013, three Xinjiang terrorists driving a jeep to the Tiananmen Square, the terrorists were all burned on the spot, but the police spent only more than 10 hours to seize 5 associates. How quickly the police lock the suspect, this is a state secret, but from the media disclosure ...

In the weeks before the 2009 swine flu outbreak, Google engineers published an article in the journal Nature that shocked public health officials and computer scientists, claiming that Google was able to predict the spread of winter flu-not only to spread across the United States, You can even target flu targets to regions and states. It turns out that Google is doing this by looking at people's online search records. After the flu outbreak, Google found that the keyword associated with the flu has also seen a burst of growth in search volume. Every day, Google will receive more from the world than ...

Large data is a vague expression of large-scale phenomena. 　　The term has now been overheated by entrepreneurs, scientists, governments and the media. Five years ago, a Google research team announced a remarkable achievement in the world's top science magazine Nature. The team can track the spread of flu in the United States, which does not depend on any medical examination. They are tracking even faster than the CDC. Google's tracking results are only a day's delay, and the CDC needs to compile a large number of physicians ' diagnoses to get a spread of the trend chart ...

In the weeks before the 2009 swine flu outbreak, Google engineers published an article in the journal Nature that shocked public health officials and computer scientists, claiming that Google was able to predict the spread of winter flu-not only to spread across the United States, You can even target flu targets to regions and states. It turns out that Google is doing this by looking at people's online search records. After the flu outbreak, Google found that the keyword associated with the flu has also seen a burst of growth in search volume. Every day, Google will receive more from the world than ...

This article originally contained the FT website, original title: Big Data:are We making a big mistake, it seems that I saw a bit late, but still share it. Because it does discuss some of the issues I've been thinking about recently, it's a speculative article. 　　If you've never known big data before, this can be considered a primer. This article is only opinion, because the query is more simple than the proof, but the big data is now hot, these negative comments, if as a conversation to collect, is also good ...

Baidu can know what we are concerned about, Taobao can insight into what we like, this is happy or worry? Large data has penetrated into every industry and business functional area today, becoming an important production factor. 　　The recent publication of the journal Nature and Technology suggests that the excavation and use of massive amounts of data heralds a new wave of productivity growth and a wave of consumer surpluses. Not the biggest, only bigger Wikipedia defines big data like big data: large or huge amounts of data, massive data, large amounts of data, which means that the amount of information involved is so large that it is impossible to ...

What is industry? According to the dictionary interpretation, refers to the extraction of natural material resources, as well as industrial raw materials and agricultural raw materials processing of the social production sector. According to the overall division of labour, industry can be divided into extractive industries and processing industries, but also divided into heavy industry and light industry. In some countries, industry is also known as manufacturing, and usually refers only to the processing industries. For each of our individual consumers, the most direct manifestation of industry is light industry, or industrial processing. That is, the human processing and transformation of the natural material of an industry, and the extractive industry is we usually do not touch, it is like we all day ...

Large data allows us to standardize and digitize almost everything we create, it is then stored, dug, counted, analyzed and entered into various applications, thus creating almost limitless functions and business opportunities, helping us to accumulate the past, analyze the present, predict the future, and lead us to realize the transformation from data to knowledge. 　　The leap from knowledge to action promotes the rapid development of society, economy and even the whole Earth civilization. The author thinks that the essence of large data is the process and application of digitalization based on full standardization. The purpose of the record is to classify the storage, so out ...

Can only see the existing products and services to improve and improve the prospects, do not see the industrial innovation value chain reorganization of the huge space. Need to redefine large data, I do not say I am the correct version, but I this is a direction. This is the history of Internet service development, what is called the false big data, one-dimensional data is our existing technology and existing capabilities to see, there is nothing to discuss, a G and a T, a p, a z is one thing, as long as you are willing to put money, but the prospect of value-added is extremely limited, just fine. Personal data, the history of the first batch of Internet services, Email 、...