Relationship between mother-in-law and daughter-in-law and large data

Boudoir Honey Angela is Baidu's number one handsome Coleyan fans, listen to Li Li recently to the Central high level to speak large data, the young woman determined to figure out "big data" what is the use. I quote several times to explain, she still stare at innocent big eyes flashing twinkling. Suddenly, think of a few days ago she cried to me and her mother-in-law to get along with two or three things, immediately stratagem, decided to open a history precedent, with mother-in-law and daughter-in-law relationship translation big data.

We see "Big data" three words, will be "big" scare, thought must be super big too much can, in fact, large data is a kind of thinking, the first feature of this thinking is not "big", but "whole". For example, I use Sina Weibo data analysis 2013 years ago 11 months of daughter-in-law relationship of "word-of-mouth", input keyword "mother-in-law + daughter-in-law", out of 1,946,905 micro-blog content. For me, the primary point is not how big the number is, but whether the data is complete, not a sample or a part.

Through a certain number of Word frequency statistics and analysis, the vast total data found in the relationship between mother-in-law and daughter-in-law is very important to some mysteries. These mysteries, exactly is Angela in and her mother-in-law when often tread on the minefield: improper spoiled, to her mother-in-law complain; The analysis of these large mined areas uses the second feature of large data thinking, which is to look for various relationships from the data. A spoiled brat, not the main cause of bad relationship between mother-in-law and daughter-in-law, but will trigger a subtle change in the relationship. The logic of this correlation is that one becomes stronger and the other is strong, but one weakens, and the other is almost unchanged. There is a huge difference between this and the causal relationship that is closely related.

One of the most insightful insights in the big data age of foreign data research is that he clearly points out that the biggest shift in the big data age is to give up the desire for causation and instead focus on the relationship Victor Maire Schoenberg. That is, as long as you know what "is" and don't need to know "why," it's a long way from human thinking.

In addition, there is an interesting discovery through data insights. 2013 years ago 11 months, the mention of "mother-in-law + House" Weibo only 785, but the mention of "mother-in-law + House" Weibo has 463,691.

This shows that the mother-daughter-in-law relationship in the house is not the focus of attention, while the mother-in-law can be foreseen in China's real estate market has a potential role in promoting, far more than her mother-in-law. It is confirmed that a real estate in Anhui Province has played the slogan: "You can not buy a house, unless you settle the mother-in-law." Here, another feature of big data thinking is predictability. The prediction analysis of large data is the highest state of large data and the ultimate dream of many data analysts.

Victor points out that the essence of the world is data. Just like Angie can improve the relationship between her mother-in-law and daughter-in-law according to the analysis result of large data. In the era of large data, economics, political science, sociology and many scientific categories are likely to have huge or even essential changes, which in turn affect the value system, knowledge system and way of life of human beings.

Unfortunately, the concept of large data over the past two years is hot, but the real big data is what's going on, many people in the mind are vague. In September 2013, Gartner, an information technology analyst, published a report on the hype behind the popularity of the big data in 2013, noting that 30% of companies in 2013 have started working on big data and another 34% are planning to start in two years. But most of these companies tell investigators, do not know what they are doing, do not know why to do big data work. According to the report, more than half of the companies do not know how to derive value from the data; One-third per cent lack large data-processing capabilities; even more than one-fifth of companies do not know what the big numbers are.

Another study found that overall, the development of large domestic data to lag behind the foreign 1.5, and more bubbles. At present, some large domestic data enterprise development and foreign large data enterprises in the early stage of entrepreneurial phase similar to the hard technology and data acquisition is relatively deficient. Domestic large data enterprises focus on the industry application analysis direction, mainly for decision-making consulting, search recommendations, forecasting, visualization, image recognition, E-commerce and so on. At the same time, the domestic large data enterprises also have a worry, that is, the data source is relatively single, the real creative data development channels are very few.

According to prospective Industry research institute "2014-2018 China Big Data industry development prospect and Investment Strategic Plan Analysis Report" forecast, 2012 China Big Data Industry market scale is 450 million yuan, preliminary estimate, 2013 will reach 800 million yuan. In the next few years, the big data market will continue to grow by more than 100% annual compound growth rate, by 2016, the big data will become the billion-tier industry.

If the big data is really about to start a new era, then knowledge popularization, data source development, technology sharing, personnel training and so on, all need the country from the strategic level to support. September 30, Baidu CEO Robin Li to the central high-level preach big data. He believes that large data is the most valuable in two aspects, one is to promote information consumption, speed up economic restructuring and upgrading, the second is to pay attention to social livelihood, and promote social management innovation. Shuai elder brother Preach Big data, is a very good symptom. However, the big data age is still gradually forming, the future glory, we have to wait.