As an educator specializing in computer science and currently leading graduate students in the direction of big data, let me answer this question.
First of all, the current value-added positions in the field of big data is really high, not only the treatment of the algorithm post is relatively high, the treatment of the development post and the operation and maintenance post is also relatively high, there are three main reasons, one of which is that the talent gap in the field of big data is relatively large, the second is that the IT Internet industry is more sensitive to the new technology, and the third is that the value of the field of big data is a large space.
From the point of view of technical maturity, the technical system of big data has been relatively mature, and now big data has begun to enter the stage of comprehensive landing application, driven by the industrial Internet, the landing application of big data will be comprehensively accelerated, and this process will inevitably release a large number of talent demand, which is to promote the big data-related positions to enhance the salary treatment of an important factor.
From the employment situation of graduate students in recent years, more students will choose to engage in the development post, although the treatment of the algorithm post tends to be higher, but the competition is also very fierce, in addition to computer science majors, mathematics and statistics majors are also more interested in the algorithm post, and from the overall number of jobs, the algorithm post is not as much as the development post, which leads to many students will be The first thing you need to do is to look for the next best thing.
The requirements of big data development jobs for practitioners are not that high, but because big data development jobs involve more content, so in order to engage in big data development jobs, you usually need a systematic learning process, and the learning cycle is also longer, on the one hand, you need to learn the programming language, and on the other hand, you need to systematically learn the relevant knowledge of the big data platform. From this perspective, big data development positions still have a certain threshold.
For the current study of computer, big data-related students, we must be prepared to do both, in addition to pay attention to the learning of data analysis knowledge, but also pay attention to the development of the ability to improve, which will significantly expand their employment surface.
If there are questions about the Internet, big data, artificial intelligence, or graduate school, you can write to me privately!
In recent years, big data can not be said to be not hot, especially in 2017, the development of big data industry was written into the government's work report, big data began to appear not only in the strategy of the enterprise, but also began to appear within the government's planning, which can be said to be the favorite of the Internet world.
According to the "Big Data Talent Report" released by the Digital Union Seeking Britain, there are only 460,000 big data talents in the country, and the shortage of big data talents will be as high as 1.5 million in the next 3-5 years. More and more people are joining the big data training, and they all want to learn the most cutting-edge knowledge in the big data training institutions and find a good job.
Background of the big data industry
According to the 2016 China Internet Hottest Jobs Talent Report released by LinkedIn, a professional social platform, R&D engineers, product managers, human resources, marketing, operations, and data analysis are the six categories of talent positions that are most in demand in China's Internet industry today. Among them, R&D engineers are in the greatest demand, while data analysis talents are the most scarce. Colling report shows that the supply index of data analysis talents is the lowest, only 0.05, belonging to the high scarcity. The data analytics talent also has the fastest job-hopping speed, with an average job-hopping speed of 19.8 months.
According to the China Business Federation's Data Analytics Professional Committee, the future shortage of basic data analytics talent in China will reach 14 million, and more than 60% of the positions recruited by BAT companies are recruiting big data talent.
Big data employment direction
Big data after graduation of the main engaged in the work of the following examples:
1. Big data development engineers
basic big data service platform, large and medium-sized business applications, including what we often say the enterprise application (mainly refers to the complexity of the software system of the large enterprises), various types of websites and so on. Responsible for building the big data application platform as well as developing analytic applications.
2. Big Data Analyst
Responsible for data mining work, the use of Hive, Hbase and other technologies, specializing in the industry engaged in data collection, organization, analysis, and based on the data to make the industry research, assessment and prediction professionals. As well as through the use of new data visualization tools such as Spotifre, Qlikview and Tableau, data visualization and data presentation.
And so on
Money in Big Data Employment (Salary)
Big Data Development Engineer
Average Big Data Development salary in Beijing: 30230/month.
Data Analyst
Average data analytics salary in Beijing: 10630/month, taken from 15526 samples, up 9.4% from 2016.
Hadoop Development Engineer
Beijing hadoop average salary: 20130/month, taken from 1734 samples.
Data Mining Engineer
Average data mining salary in Beijing: 21740/month, taken from 3449 samples, up 20.3% from 2016.
Algorithm Engineer
Average salary of Algorithm Engineer in Beijing: 22640/month, taken from 10176 samples.
At present, the number of big data talents is relatively small, but in the data-driven future, the big data talent market is bound to get bigger and bigger, and now is only the beginning of the primary stage of the big data, and it's the right time to join the industry.