大数据时代(BigdataEra)

大数据时代（Big data Era）

Data is turning us into a new species. First of all, big data

changes our way of thinking, so that we can change the series

thinking of causality into parallel thinking of related

relations. Second, big data changed our way of production,

production of material products relegated to secondary

position, the processing of information products will become

the main production activities. Third, big data has changed our

way of life, and our spiritual world and the material world will

be built on big data. Big data is not only a technology, but

also a new business model, which together with cloud computing

constitute the next generation of economic ecosystem.

Everything is information.

Good map in the era of big data

Wen / PAN chaos (tiger sniffing editor)

"Big data era" is a real understanding of big data written by

the people on the real big data in all aspects of the book.

On the night I got this book, I just read the introduction, and

I couldn't wait to read it on the bean. Because they feel that

the expert hand will have the pleasure of Shirupozhu,

accumulate steadily sweep down irresistibly from a commanding

height. I then asserted that the book had been killing all the

same questions. When I finished reading the book on the second

day, I felt I had made the right judgment the night before. This

book is clear, appropriate levels of detail, citing the rich,

big data combing very clear, solve a lot of confusion I have

long been a problem, at least than those so-called experts and

scholars in the sleepy people visible five times better.

Big data is the vanguard of the most fashionable concept of the

TMT ring in 2012. In March this year, Tencent launched the QQ

circle, spreading out your network of relationships according

to the chain reaction of common friends,

Your ex girlfriend is recommended to fiancee, let people

shocked, will feel this is the Tencent for many years

accumulated data accumulate steadily; mobile phone game angry

birds years has revealed its user login every day more than 1

million 400 thousand times, each operator Rovio launched a new

application, will immediately change the flow, though this

order of magnitude with the domestic Sina micro-blog and the

Ministry of Railways 12306 compared to far, but the light from

the "volume" this is a big data; in November this year, Obama

re-election victory of the fruits of success has also been

attributed to big data, because his campaign team conducted a

large-scale and in-depth data mining. Time magazine is asserted,

relying on intuition and experience decision advantage

declined sharply in the political field, the big data era;

various media, forums, experts and the overwhelming publicity

so that the people of the era of big data excited, many companies

and entrepreneurs have jumped into the ranks of the carnival.

Almost every day you see people talking about big data, big data

seems to be able to put anything inside the box. Even though

we all know that big data is not just "big", there are few people

who can really tell what big data is.

On the eve of the era of big data, the author of the book,

ambitious Schoen Berg, made it clear. He constantly defines

examples, trying to delineate the boundaries and boundaries of

big data, and analyze the possible changes and challenges that

big data may bring to mankind from three dimensions of thinking,

business and management. He also pointed out that the big data

era, three changes in the concept of data processing: "do not

random samples.",

It's all data. "It's not precision, it's hybridity." it's not

causation, it's correlation". The author thinks that the range

of communication, including text, everything can be quantified,

the value of these data can still continue to give in after being

excavated, and to clarify the role of data, in the process of

mining technology and thinking of the three kinds of game player.

The same is the big data expert translator Zhou Tao think this

book in three places: views, ideas and examples of extremely

elegant and valuable wealth sweep down irresistibly from a

commanding height. And these three almost perfectly combined,

the author's ability to control big problems and rich knowledge

amazing.

Sampling analysis is the product of the imperfect information

gathering age. It may find the problem faster and better, but

it can not answer the question which has not been considered

before. The book cites the story of big data and Jobs treatment

of cancer, Jobs is the world's first ranking of all its DNA and

tumor DNA, he is not to be sample, but including the entire gene

data document. Because the doctor could follow all the genes

on demand, it helped Jobs extend life for several years.

Another idea in the era of big data is efficiency rather than

absolute accuracy, allowing a little bit of error and

imperfection. Google was involved in Machine Translation in

2006, and Google translation system, in order to train

computers, would absorb all the translations it could find.

Google sees language as the data that identifies possibilities

rather than language itself. If you want to translate Chinese

into Russian, it may choose English as an intermediary language,

because when translating, it can add and drop vocabulary

appropriately,

Flexibility has improved a lot.

The earliest and most famous example of big data may come from

Taghit, the second largest supermarket in the United states.

A Taghit store in Minnesota has been complained by clients, and

a middle-aged man accused Taghit of sending baby products

coupons to his daughter, a high school student. But soon he was

calling to apologize, because her daughter after he pressed

after admitted that he is pregnant. Taghit department store is

based on the analysis of all the user's shopping data, and then

through the correlation analysis to get the true situation of

things.

With the emergence of big data, the value of the data is also

changing. All users will be asked to fill out the website that

you are a man and not a machine code, known as the "CAPTCHA"

technology was invented in 2000 in order to prevent spam and

unnecessary harassment, and later inventors to find the human

calculation method more effective utilization, sending two a

word, a word which is used to verify the results of input,

another machine cannot recognize the character is randomly sent

to five people, until they are entered correctly to confirm this

word. That's why sometimes we lose the wrong thing and

eventually land. In 2009, Google bought the reCAPTCHA, the

maker of the verification code, and used it in book scanning,

and the world's Internet users became Google's free typists..

(Google is too cheap!) Because of the power of crowdsourcing,

this technology saves about one billion dollars a year for

Google.

The author concludes that if the data cannot be used for us,

then we will become slaves of the data.

To prevent this situation out of control, at least we need to

make four kinds of changes in management level: 1, personal

privacy protection from personal data by the user permission

to take responsibility; 2, the individual is the behavior

rather than the tendency of responsible; 3, can not let the big

data become a black box, it will need to hire people to maintain

the external supervision public trust; 4, anti monopoly tycoon

data.

If you go to a strange city alone, the first thing you have to

do is buy a map. A good map can let us know the whole, the

direction, the position, the important characteristic, as well

as our starting point, the end point, the middle path, will

follow the map to be easy to lose oneself. If you don't really

understand the concept of big data, then this big data era is

your good map.

Big data (big data), also known as big data refers to the amount

of data involved is huge to not through the current mainstream

software tools to capture, management, processing and

finishing to become more active to help business

decision-making purposes of information within a reasonable

time. 4V features of big data: Volume, Velocity, Variety,

Veracity.