What are the prospects for the big data profession?

The future employment direction of big data majors can be divided into:

1. Big data development direction

The positions involved include big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.;

2. Data mining, data analysis and machine learning

The positions involved include big data analysts, big data senior engineers, big data analyst experts, big data miners, big data algorithms, etc.;

3. Big data operation and maintenance and cloud computing

The positions involved are such as big data operation and maintenance engineers;

Among them, data mining and data analysis are the easiest to get started and the development direction with the largest talent gap. Many large enterprises will use some BI tools, such as Tableau and PowerBI, which are very famous abroad, and DataFocus, FineBI, Yonghong BI, etc., which are domestic dark horses, to assist in data analysis. Big data analysts need to be proficient in using these BI tools to maximize the value of data.

What are the prospects for the big data profession? The prospects for the development of big data are very good, and the current use rate of big data is inseparable from big data in our lives.

What are the prospects for the big data profession? The development prospects of big data are very impressive, and very good, the salary is very high, but the work is very hard, often have to work overtime, and the talents who do big data rely on eating youth, and it is difficult to stand firm after 30 to 35 years old.

We all live in the age of information. And I think the prospect of big data is likely to have certain benefits and effects for future development.

In fact, for me, I think the future prospects of big data are quite good, and now with the development of information technology.

If you are a qualified big data development technician, then of course there are high-paying jobs, not that you will necessarily have a high-paying job after you finish your studies, it depends on how well you study.

At present, big data training is better than other training programs for employment, because other languages or skills training have a certain market foundation, and big data has only been vigorously developed in the past two years, and has spread in various fields, so the talent gap is huge, and there are very few technical talents who are really strong in big data skills in enterprises;

The application is more and more extensive, but the production of technical talents is slow, and the newly trained personnel can only adapt to the basic software operation and theoretical basis;

It does not meet the technical needs of enterprises to complete complex business;

Therefore, the training is fast and the salary is fast, but it is only temporary, and when you enter the enterprise, you can't keep up with the development and employment needs if you don't study hard.

According to the "Big Data Talent Report" released by the Digital Union Xunying, there are only 460,000 big data talents in the country, and the gap of big data talents will be as high as 1.5 million in the next 3-5 years.

According to the "2016 China Internet Hottest Jobs Talent Report" released by the professional social networking platform LinkedIn, R&D engineers, product managers, human resources, marketing, operations and data analysis are the six most in-demand talent positions in China's Internet industry. Among them, R&D engineers are in the greatest demand, while data analysis talents are the most scarce. The LinkedIn report shows that the supply index of data analytics talent is the lowest, which is only high, which is highly scarce.

Data analysis talents also have the fastest job hopping speed, with an average job hopping speed of one month.

According to the statistics of the Data Analysis Professional Committee of the China General Chamber of Commerce, the gap of basic data analysis talents in China will reach 14 million in the future, and more than 60% of the positions recruited by BAT enterprises are recruiting big data talents.

There are three main employment directions of big data: big data system research and development talents, big data application development talents and big data analysis talents.

In these three directions, the basic positions of each are generally big data system R&D engineers, big data application development engineers and data analysts.

Employment Salary for Big Data Professionals:

Beijing data analysis average salary: 10630 months, taken from a sample of 15526, an increase from 2016.

Average salary for big data development in Beijing: 30230 months.

Average salary in Hadoop in Beijing: January 20130, taken from a sample of 1734.

Average salary in data mining in Beijing: 21740 months, taken from 3449 samples, an increase from 2016.

Big data engineers are hired by many well-known enterprises because of their scarcity, and because the charm of technology is highly valued by the country, they have always been optimistic about the development prospects of big data employment in 2019. At present, the income of big data engineers can be said to have reached the top of the same category, and the future development prospects are even brighter.

Come over here and have a look, it's good.

The overall salary in the field of big data is still considerable, and the current big data development recruitment is stillTechnology-orientedAs long as the training is technically clear, and the current market demand is also considerable, you can find a good job by looking patiently.

At present, the industrial chain in the field of big data has been initially formed, including:Data acquisition, storage, analysis, security, and applicationsHowever, at present, the industry generally has higher requirements for the knowledge structure of big data technology talents, and programmers who are usually engaged in big data application development also need to have more comprehensive technical capabilities and be able to perform ordinary development tasks, such as web development.

The two hot fields of "big data" and "virtualization" have received extensive attention and attention, and 90% of enterprises are using big data, and the development prospects of the big data industry are very good, and the demand for talents is also very large.

In the next 3 to 5 years, China.

1.8 million data required.

talents, but as of now, there are only about 300,000 big data practitioners in China. At the same time, the criteria for talent selection in the big data industry are constantly changing. In the early stage, the demand for big data talents was mainly concentrated in HTL R&D, system architecture development, data warehouse research and other hardware fields, and most of them were talents with IT and computer backgrounds.

With the extension and development of big data to various vertical fields, there is an increasing demand for talents majoring in statistics and mathematics, as well as software fields such as data analysis, data mining, and artificial intelligence.

Big data is the main employment direction.

In September 2015, the "Action Plan for Promoting the Development of Big Data" was issued to systematically deploy the development of big data. The "Outline" clearly puts forward seven policy mechanisms, of which the sixth is to strengthen the training of professional talents, establish and improve a multi-level and multi-type big data talent training system. At present, there are three main employment directions for big data:

Big data system research and development, big data application development and big data analysis. Specific positions such as: big data analyst, big data engineer, etc.

Big data analyst uses appropriate statistical analysis methods to analyze the large amount of data collected, emphasizing the application of data, and focusing on the statistical level. For example, as a product manager, you can use data to establish financial models and launch some financial products. Big data engineers focus on technology, mainly around the system-level research and development of big data platforms, and focus on the development level.

Professor Hua Ying introduced: "We summarize the process of big data analysis in business, which is divided into the following steps: data acquisition and preprocessing, data storage management, data analysis modeling, and data visualization.

In this application process, graduates can choose employment in different links according to their interests and strengths. ”

The big data industry has been very popular in recent years, and many colleges and universities have opened big data majors, and many students choose to apply for this major. Graduates can also have a wide range of employment directions, and they can choose a job that suits them according to their personal interests.

Big data training is generally a formal school will sign an employment contract when enrolling, but after employment, your work ability and resume do not match, or will be eliminated, work still has to rely on yourself, it is useless not to work hard to learn anything, halo * big data * employment system, or relatively perfect students must pass the employment assessment before employment, and the students who can not be assessed will be given one-on-one tutoring, so the quality of student employment is better in the industry.

The prospects are very good, with high salaries, a good working environment, and a high-paying career in the IT industry.

2.The big data talent gap continues to expand, and the talent gap is million+

The job prospects are good.

The paradise flowers are affectionate. The maple branches of the pen, the red candle flame, the autumn moon, a love song on the book, the loud sound into the ears, the fragrant courtyard is a little deep.

The employment prospects of big data majors are good, and there are still many jobs in the field of big data, especially the big data development positions, which are gradually covering from the development of big data platforms to the field of big data application development, which is also the inevitable result of the comprehensive application of big data. ”

With the application of big data in people's work and daily life, big data visualization is also changing the way people read and understand information. From migration to Google flu trends to Alibaba Cloud's launch of county economic visualization products, big data technology and big data visualization are the heroes behind the scenes.

Job Responsibilities of Big Data Visualization Engineer:

According to the business function of the product, design the visualization scheme that meets the needs of Danzhenyun.

According to the different visualization scenes and performance requirements, select the appropriate formable beam visualization technology.

Make visual samples according to the scheme and technology selection.

Cooperate with visual designers to improve the visualization examples.

Cooperate with front-end developers to componentize the samples.

The direction of data copying science and big data technology is also what we call the big data major in our daily life, mainly to cultivate compound senior technical talents in the field of big data science and engineering.

After graduation, students should be able to have the basic knowledge and basic skills of information science, management science and data science, the system integration ability of big data engineering projects, the ability of application software design and development, and the basic ability and quality of big data scientific research ability and data scientist position. Able to engage in big data analysis, processing, service, development and utilization of various industries, big data system integration, management and maintenance, etc., and can also be engaged in big data research, consulting, education and training.

The employment prospects of big data majors are very good, but they also put forward higher requirements for graduates, and the basic knowledge of the profession should be solid, and at the same time, it is necessary to pay attention to the update and change of technology, because the knowledge of the school is basically at least 5 years behind the social practice.

The employment prospects of big data are still good, of course, you must also have excellent technology and good employment choices.

I want to know if the future prospects of this major are good.

The outlook for big data employment is very optimistic.

Big data is a new interconnected industry, and big data is still available.

In the early stage of rapid internal development, capacity.

At present, there are only 460,000 big data talents in the country, and the gap of big data talents will be as high as 1.5 million in the next 3-5 years. Big data has only been vigorously developed in the last two years and is spreading in various fields.

3. As a country with a large population and a large manufacturing country, China has a huge data generation capacity and is extremely rich in big data resources. With the advancement of the construction of digital China, the data resource collection and application capabilities of various industries continue to improve, which will lead to faster and more data accumulation. It is estimated that by the end of 2020, China's total data is expected to account for 21% of the world's total data, and it will become a top data resource country and a global data center.

According to the "2018 Filing and Approval Results of Undergraduate Majors in Ordinary Colleges and Universities" announced by the Ministry of Education in 2019. According to statistics, 2,072 new undergraduate majors have been added to ordinary colleges and universities, including 1,831 new registered majors and 241 newly approved majors.

Among the new majors, data science and big data technology are very popular, and a total of 196 colleges and universities across the country have added this major.

According to the report "Digital Transformation of China's Economy: Talent and Employment" released by the School of Economics and Management of Tsinghua University in November 2017, the current talent gap in China's big data field is as high as 1.5 million, and it will reach 2 million by 2025.

1. Big data development engineer.

Big data development is mainly based on big data service platform, and many large and medium-sized business applications include enterprise-level applications and various types of business applications. Ability to build big data application platforms and develop analytical applications.

2. Big data analyst.

Big data analysts are mainly responsible for data mining, using technologies such as HIVE, HBase, etc., and are specialized in conducting industry research, evaluation, and evaluation for professionals engaged in industry data collection, collation, analysis, and data-based. By using Spotifre, QlikView, and Tableau, the new data visualization tools enable data visualization and data presentation.