Big data analysis has been widely used in various fields. Whether it is state government departments, enterprises and institutions, big data analysis is an important part of decision -making and production decisions. All kinds of application in analysis are everywhere. They are already in the air outlet industry and belong to the Chaoyang industry. It can be said that the prospects are very good. Big data analysis full -time positions include: big data analysts, big data analysts, big data analysts The decision -making layer provides detailed and accurate data basis. There are some friends who want to switch to big data, but they are struggling, hesitating, fearing that the employment prospects are not good, and the development prospects of the industry are not good. Today, I will analyze it for you, how about the prospects of big data? First of all, the talent gap. In the next 3 to 5 years, China will need 2 million big data talents. At present, the number of big data practitioners is less than 500,000, and the market demand is far from being satisfied. In summary, the gap between big data talents in the future will become larger and larger, and there are more people who are missing. In the job salary, the basic job salary of ordinary big data development engineers starts 10,000 , generally employed salary of about 13,000 yuan, and the salary of big data development engineers for more than 3 years is as high as 30,000 yuan/month. In the next look at the industry prospects. In 2017, the overall size of China’s big data industry was 470 billion yuan. It is expected that it will exceed 570 billion yuan in 2018. In the future, big data is combined with cloud computing and AI. New position. To put it bluntly, the industry is considerable and future. In the most practical problem, corporate needs, BAT, Didi, and today’s headlines to recruit virtuous princes, urgently seek big data talents, the average annual salary of the school recruitment of more than 300,000, 80%of small and medium -sized enterprises big data Construction has begun, and demand has increased significantly. With the needs of large enterprises, the future employment prospects are naturally self -evident. The large data industry is widely used, the relevant talents of big data occupations are scarce, and the talent gap is very large. There are dozens of occupational choices. It is easy to upgrade and salary! It can be said that the future big data work means that high wages, stable, wide professional use and superiority …
Pay content for time limit to check for freenAnswer HellonEmployment direction of big data engineering technology: data engineering direction; data analysis direction. Big data engineering technicians are engineering and technical personnel who are engaged in technical research such as big data collection, cleaning, analysis, governance, and excavation, and use, manage, maintain, and serve.nHope to provide you with a referencen1 morenBleak
At present, almost all industries have been involved in big data, and big data will become the support of the entire society and corporate operations in the future. rn大数据就业方向1. Hadoop大数据开发方向rn市场需求旺盛,大数据培训的主体,目前IT培训机构的重点rn对应岗位:大数据开发工程师、爬虫工程师、 Data analysts et al. 2. Data mining, data analysis
In general, there are several major segments in the field of big data 1 Data cleaning, collection, crawler // partial script, crawler ability n2 data analysis // partial business, partial SQL, partial analysis ability 3 Data development // partial platform, partial engineering, back -end development capabilities 4 Data mining // partial algorithm. Generally speaking, the threshold for data analysis is the lowest, followed by data development and reptiles. The highest threshold is the highest threshold. Digging, of course, the salary is relatively high. It start with application development, you can go to the two -direction room exhibition: 1 further familiar with the architecture, enhance development capabilities, and transfer to the data architect; 2 from application engineering to excavating engineers, you need to learn more about algorithm -related knowledge yourself It
The employment direction of big data
has three major employment directions. Big data system R
Big data analysis has been widely used in various fields. Whether it is state government departments, enterprises and institutions, big data analysis is an important part of decision -making and production decisions. All kinds of application in analysis are everywhere. They are already in the air outlet industry and belong to the Chaoyang industry. It can be said that the prospects are very good. Big data analysis full -time positions include: big data analysts, big data analysts, big data analysts The decision -making layer provides detailed and accurate data basis. There are some friends who want to switch to big data, but they are struggling, hesitating, fearing that the employment prospects are not good, and the development prospects of the industry are not good. Today, I will analyze it for you, how about the prospects of big data?
First of all, the talent gap. In the next 3 to 5 years, China will need 2 million big data talents. At present, the number of big data practitioners is less than 500,000, and the market demand is far from being satisfied. In summary, the gap between big data talents in the future will become larger and larger, and there are more people who are missing.
In the job salary, the basic job salary of ordinary big data development engineers starts 10,000 , generally employed salary of about 13,000 yuan, and the salary of big data development engineers for more than 3 years is as high as 30,000 yuan/month.
In the next look at the industry prospects. In 2017, the overall size of China’s big data industry was 470 billion yuan. It is expected that it will exceed 570 billion yuan in 2018. In the future, big data is combined with cloud computing and AI. New position. To put it bluntly, the industry is considerable and future.
In the most practical problem, corporate needs, BAT, Didi, and today’s headlines to recruit virtuous princes, urgently seek big data talents, the average annual salary of the school recruitment of more than 300,000, 80%of small and medium -sized enterprises big data Construction has begun, and demand has increased significantly. With the needs of large enterprises, the future employment prospects are naturally self -evident.
The large data industry is widely used, the relevant talents of big data occupations are scarce, and the talent gap is very large. There are dozens of occupational choices. It is easy to upgrade and salary! It can be said that the future big data work means that high wages, stable, wide professional use and superiority …
Pay content for time limit to check for freenAnswer HellonEmployment direction of big data engineering technology: data engineering direction; data analysis direction. Big data engineering technicians are engineering and technical personnel who are engaged in technical research such as big data collection, cleaning, analysis, governance, and excavation, and use, manage, maintain, and serve.nHope to provide you with a referencen1 morenBleak
At present, almost all industries have been involved in big data, and big data will become the support of the entire society and corporate operations in the future. rn大数据就业方向1. Hadoop大数据开发方向rn市场需求旺盛,大数据培训的主体,目前IT培训机构的重点rn对应岗位:大数据开发工程师、爬虫工程师、 Data analysts et al.
2. Data mining, data analysis
In general, there are several major segments in the field of big data
1 Data cleaning, collection, crawler // partial script, crawler ability n2 data analysis // partial business, partial SQL, partial analysis ability
3 Data development // partial platform, partial engineering, back -end development capabilities
4 Data mining // partial algorithm. Generally speaking, the threshold for data analysis is the lowest, followed by data development and reptiles. The highest threshold is the highest threshold. Digging, of course, the salary is relatively high.
It start with application development, you can go to the two -direction room exhibition: 1 further familiar with the architecture, enhance development capabilities, and transfer to the data architect; 2 from application engineering to excavating engineers, you need to learn more about algorithm -related knowledge yourself It