Big data, the entry coincides with its time

Large data, the entry coincides with its time, in recent years, large data is not a fire, especially in 2017, the development of large data industry was written into the government's work report, large data began not only in the enterprise strategy, but also began to appear in the government's planning, can be said to be the darling of the

1. The importance of large data

In recent years, with the development of science and technology, the rapid progress of computer technology, large data and intelligent operational dimension is becoming more and more important.

On the big side, big data will play an important role in driving China's economic transformation:

Firstly, the analysis of large data can help solve the problems of housing, education and transportation in the development of urbanization in China. For example, through the real-time collection and analysis of traffic flow data, we can know that the driver chooses the best route and improves the urban traffic condition.

Second, through the study of large data to promote the promotion of retail and other traditional industries to the value chain high-end development.

Third, the application of large data can help China to develop a rapid foothold in strategic emerging industries, consolidate and enhance competitive advantage.

When large data centers in all walks of life have built and shared a mechanism, the National Large data center of the country integration has the foundation.

The size of China's population and economy determines that China's big data is the largest in the world, can provide many innovative perspectives for large data research, but also means that China's big data analysis solutions will also apply to other countries, which will provide a rare opportunity for the transition from "Made in China" to "China Creation".

For the commercial use of large data, I believe it is self-evident. The following sentence is clearly stated:

From the complex data behind mining, analysis of user behavior habits and preferences, to find more in line with user tastes of products and services, and the combination of user needs targeted adjustment and optimization of their own, is the value of large data.

From the complex data behind mining, analysis of user behavior habits and preferences, to find more in line with user tastes of products and services, and the combination of user needs targeted adjustment and optimization of their own, is the value of large data.

As computers become more powerful, the larger the amount of data you can get, the more value you can tap into. Therefore, in recent years, the demand for large data is also getting bigger.

According to a number of United Kingdom published "Large Data talent report" shows that, at present, the country's large data talent is only 460,000, the next 3-5 years the gap will be up to 1.5 million large data talent, more and more people to join the big data training, want to learn the most cutting-edge data knowledge, so as to find a good job.

2. Background of large data industry

Research and development engineers, product managers, human resources, marketing, operations and data analysis are the six most demanding jobs in China's internet industry today, according to the 2016 China Internet hottest jobs report, published by the social networking platform LinkedIn.

Among them, research and development engineers demand the most, and data analysis talent is the most scarce. The report showed that the supply index of data analysis personnel was the lowest, only 0.05, which was highly scarce. Data analysis talent job-hopping speed is also the fastest, average job-hopping speed of 19.8 months.

3. Large data Employment direction

Take the big Java data as an example, after graduating from the main work of the following examples:

Large Data Development Engineer:

Responsible for data access, data cleaning, bottom reconstruction, business theme modeling, etc.

To be responsible for the development and application of large financial data computing platform.

Large Data analyst:

Responsible for data mining, using hive, HBase and other technologies, specialized in industry data collection, collation, analysis, and based on data to make industry research, assessment and prediction of professionals; by using new data visualization tools such as Spotifre,qlikview and tableau, Data visualization and data rendering for the data.

Of course, other jobs in the big data area are very popular, and we're not going to give examples here.

In short, according to the China Business Federation data Analysis Professional Committee statistics, the future of China's basic data analysis talent gap will reach 14 million, and in bat enterprise recruitment positions, more than 60% are recruiting large data talent.

4, large data employment money (salary)

Take Beijing for example:

Large Data development engineer average salary: ￥30230/months.

Data analyst average Salary: ￥10630/month (taken from 15,526 samples, up 9.4% from 2016). )

Data mining engineer Average wage: ￥21740/months (taken from 3,449 samples, up 20.3% from 2016). )

At present, the number of large data talent is small, but in the data-driven future, large data talent market is bound to be more and more big, but now is only the initial stage of large data, now the entry is precisely the time.

5. Concluding remarks

Here ' s the thing about Thefuture.

There is an important feature of the future

Every time to look atit,

Every time you see the future

It changes because you lookedat it.

It's going to change because you saw it.

And that changes everythingelse.

And then everything else changed.

The data itself does not produce value,

How to analyze and use large data to help the business is the key.