Interpretation of the Big Data Age: The myth of the Big Data age

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Earth people know that we are in the big data age, perhaps the Earth people also know that the most famous book about the age of large data is Meyer-Schoenberg's "Big Data age."

I thought that the big data such profound knowledge is by no means such as our cock silk can understand or use, therefore has been to this book at a respectful distance, dare not read. Behold the surrounding talk about large data more and more people, talk about "big Data Times" This book is more and more people, it seems not to read the "Big Data times", it is estimated that even cock silk can not do. So dare to invite the big data age. First read, I really do not understand, many questions.

What is large data?

This is a very confusing and absolutely cock silk problem, usually embarrassed to ask others, hoping to get the answer from the book. Unfortunately, Mister Mayer doesn't tell us anything big in the book, and it's a slight mental handicap for a student like me who's used to cramming in the classroom: How everything seems to be big data. But it is very difficult to remember which one.

After reading this book, I can only answer that the big data is the large data. But the answer seems to have obvious problems. In his book, Uncle Meyer gave an example of a large data that was only "4000" and "two hours".

When it comes to explaining that the big data age doesn't need precision, Mister Meyer wrote:

"The most popular web sites on the Internet show that they appreciate imprecision without pretending to be accurate." When a person sees a Facebook "like" button on a website, you can see how many others are clicking on it. When the quantity is not long, it will show an exact figure like "63". When the number is large, only approximate values, say "4000", are displayed. This does not mean that the system does not know what the correct data is, but the exact amount is less important when the size of the volume becomes larger. In addition, the data is updated very quickly and may be obsolete even when it is just shown. So the same principle applies to the display of time. Google's Gmail address will accurately label the letters received in a very short time, say "11 minutes ago." However, for a letter that has been received for a period of time, it will be labeled as "two hours ago" for less precise time information. ”

4,000 "praise" or two hours (120 minutes) is also large data? I'm starting to crumble!

I wonder if Uncle Meyer might have considered the number of our numbers. So we deliberately simplify and pick the "big data" we can understand to illustrate his assertion.

Stag is absurd. However, if there is no definition of the horse, then the stag is irrelevant.

Oh, Uncle Meyer is really humorous.

What is the big data age?

I read books written by Westerners, always think that reading is very cool, after reading the basic can't remember. Reading the big Data age has the same feeling. A lot of big data examples, after reading close the book, basically one can't remember. But Mister Mayer may know about my problem, so kapitalmakes, summed up the big data age of the three major features. This is what the Earth knows. The three major characteristics of the age: 1 is not a random sample, but a total data, 2 is not precision, but a hybrid; 3 is not a causal relationship, but a related one.

A book, three words, the characteristics of an era! Chu River boundaries, clear, clear and clear-cut.

The age of small data is random samples, precision and causal relationship, the large data age is the whole data, the hybrid and related relations.

But my brain just can't turn around, I can't get the big data age from the summary of Uncle Meyer's three simple features. This seemingly simple summary, in fact, is really profound. It's unfathomable!

A whole bunch of questions waiting for Uncle Mayer to answer.

For example, is not the big data age do not randomly sampling analysis? Are there any so-called data in the age of small data? For example, 30 years ago the Internet was not popular before the U.S. bank or insurance company owned data is not the whole data? How to define the whole data? Google, Baidu, Facebook or Tencent, Which company has the so-called total data? Why do we have the whole data analysis to completely discard the random sample analysis? If considering the accuracy of the analysis results of random sample analysis, is not the big data age not pursuing precision?

About the big data age don't be accurate, I can not turn the corner. You say that the teachers in the big data age teach students that "2+2 may be equal to 3.9", the company accounting bookkeeping is wrong can also say to the boss confidently said "Now is the big Data age", even to the restaurant to pay the bill is not accurate ... oh, this day still let people live ah?!

There are also questions about causation and relevance, and it's killing me! I always think that the fundamental difference between people and monkeys is that people like to ask "why?" The original two monkeys, a constantly curious to ask "why the sunset is going to sleep", the result of the brain evolved into a person, the other only to see the sunset on the tree to sleep, the result is still monkeys. Now good, the big data age does not need to ask "why", not bitter we from the monkey into the process of the long cultivated curiosity.

The difference between causality and correlation is that causality asks "why" in relation.

Widely circulated as a big example of the supermarkets selling beer and diapers. According to large data analysis, people usually buy beer when they buy diapers, so they display beer and diapers for sale.

If you live in a big data age, the story ends here.

If you're curious to know why people buy beer when they buy diapers. Oh, sorry, you and I also live in the small data age.

We are undoubtedly living in an age of Internet, a world full of massive data. Multiple forms of data, multiple sources of data, and complex relationships between data make our world more mysterious but also more exciting. This is the big data age.

The exploration of the big data age is like the American expedition to the west, full of legends and myths. The big data age may be such an adventure full of myths and legends. We are enchanted, but still live in the real life, the real life of those laws still apply.

Even in the big data age, we still need to ask "why", we still need to teach children "2+2=4", we still have to do random sample analysis.

Big Data does not change the basic logic of life in our existing society.

Large data age, ordinary people, ordinary heart.