5 thoughts on “The employment direction of big data?”
Drew
Students who graduate from this major can go to various industries that need big data processing, such as banks, commercial institutions, telecommunications, e -commerce companies, etc., or they can also engage in data collection, management, analysis and mining. 1, big data engineer: engaged in data collection and management, requires strong IT professional capabilities. There are also many aliases in this position, such as Hadoop engineers, Javag engineers (big data), ETL engineers, etc. And skill requirements, don’t look at the name. The average monthly salary of fresh students is above 10K. 2, big data analysts: engaged in data resource development and utilization. The main work is data analysis, and data mining. It is necessary to use some analysis tools, such as SPSS and SAS. If you can use programming to flexibly perform data analysis, it is even better. For example, Python or R. has aliases, such as data analysts, business intelligent analysts. The first monthly salary of the freshman is about 8K. 3, algorithm engineer: engaged in machine learning and building artificial intelligence models, also known as machine learning engineers, in the business field, also known as business intelligent engineers. This position requires a strong mathematical analysis ability and programming ability. It is a gold -collar position in the three positions and the highest monthly salary. The monthly salary is currently above 15K.
Big data selection positions include: 1, big data development direction; the occupational positions involved are: big data engineer, big data maintenance engineer, big data R
Big data is widely used in major fields such as power grid operation, operation management and high -quality services, and is changing all walks of life, and also leads the changes of big data talents. How about big data employment prospects? This is an important message for us in employment.
With the advent of the era of big data, this time the Ministry of Education has also been reforming.
The army is about to enter, and the whole people start to act. In 2019, major colleges and universities have opened big data majors. The real competition pressure will come immediately. Students who have joined the big data industry are very lucky. They must seize everything to seize the opportunity and devote themselves.
The life not only bowed his head to pull the car, but also looked up at the road.
01
Analysis of the needs of big data talent and status quo n As the state attaches great importance to big data, the government supports big data, big data is germinated in enterprises. ,Bloom and bear fruit. In the next three to five years, China will need 1.8 million data talents, but currently only about 300,000 people.
PS: Job requirements of major recruitment websites
The forward -worry -free big data post search, a total of 29854 positions meet the conditions; Meet conditions; search and recruitment network big data job search, a total of 1000 positions meet the conditions; La Gou.com big data job search, a total of 500 positions meet the conditions.
Please click to enter the picture description
The high salary. As long as you dare to think, dare to pay, are you afraid of high salary?
02
The people with suitable big data
1, java
java and Java -based frame The skeletal stents of the largest high -tech companies in Silicon Valley. If you move to the previous prototype production and need to establish a large system, then Java is often your best choice.
2, python
python is often supported in the big data processing framework.
3, r
R language has become the darling of data science.
4, hadoop and hive
hadoop is slower than other processing tools, but it is surprisingly accurate, so it is widely used in back -end analysis. It and HIVE -a framework based on query and running on the top can be paired well.
The technical level, in fact, as long as the basic programmers transform big data have natural advanced advantages, even if you have not learned the above language, Hadoop is also possible.
03
Big data development and employment direction
Big data as a basic science, regardless of data development and analysis, the Internet of Things and artificial intelligence algorithms The training field has core technologies and job demands. So what are the job jobs in the development direction?
direction 1: Big data engineer, big data development engineer, big data maintenance engineer, big data research and development engineer, big data architect, etc.; n direction 2: Big data analysis Division, senior data engineer, experts and experts from big data analysts, big data excavators, big data algorithms, etc.;
: Big data operation and maintenance engineer, etc.
If big data development This age is relatively small, because it is not simple programming to engage in big data, and the amount of programming is not even 1/6. Multi -aspects such as Victoria analyzed problems to solve problems.
The longer the time of survival in the big data industry, the more experience will be affirmed. This is also the analysis of big data for most senior IT people may bring a 50 or 60 -year -old “old” expert reason.
Faced with such a bright and attractive prospects, there are visionary people who have arranged for their back roads.
At present, the monthly salary of a big data engineer is easy to exceed 10,000, a big data engineer with several years of work experience, with a salary of 400,000 to 600,000 yuan, and the top big data technology talent It is an annual salary of more than one million.
Pay content for time limit to check for freenAnswer Hello, big data majors are very good, but if you just train for a few months, you ca n’t learn too much useful. The application of big data will inevitably be widely used in the future, so employment will definitely be much better. However, if you are a college undergraduate and you are studying scores, you can try to improve through training. At present, the training is J H, or Python. You need to have a programming foundation. Otherwise, it is very difficult to learn, and you can’t learn the real things. You must know that big data is now the industry supported by the country. Major enterprises also realize that big data is the basis for industrial intelligence, automation, precision, and personalization. There are many job opportunities. Study, study here, see many cooperative companies to recruit, and wages are still considerable.nThere are many employment positions in big data majors, such as: Java big data distributed program development, application and development of big data integration platforms, big data platform operation and maintenance
In general, there are several major segments in the field of big data 1 data cleaning, collection, crawler // partial script, crawler ability 2 data analysis // partial business, partial SQL, partial analysis capacity 3 data development // partial platform, partial project partial project, partial project The data mining capacity of the back -end and back -end development capabilities // partial algorithm. Generally speaking, the threshold for data analysis is the lowest, followed by data development and crawlers. The highest threshold is mining. Of course, the salary is relatively high. Starting from the application development, you can go to the two -direction house 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;
Students who graduate from this major can go to various industries that need big data processing, such as banks, commercial institutions, telecommunications, e -commerce companies, etc., or they can also engage in data collection, management, analysis and mining.
1, big data engineer: engaged in data collection and management, requires strong IT professional capabilities. There are also many aliases in this position, such as Hadoop engineers, Javag engineers (big data), ETL engineers, etc. And skill requirements, don’t look at the name. The average monthly salary of fresh students is above 10K.
2, big data analysts: engaged in data resource development and utilization. The main work is data analysis, and data mining. It is necessary to use some analysis tools, such as SPSS and SAS. If you can use programming to flexibly perform data analysis, it is even better. For example, Python or R. has aliases, such as data analysts, business intelligent analysts. The first monthly salary of the freshman is about 8K.
3, algorithm engineer: engaged in machine learning and building artificial intelligence models, also known as machine learning engineers, in the business field, also known as business intelligent engineers. This position requires a strong mathematical analysis ability and programming ability. It is a gold -collar position in the three positions and the highest monthly salary. The monthly salary is currently above 15K.
Big data selection positions include:
1, big data development direction; the occupational positions involved are: big data engineer, big data maintenance engineer, big data R
Big data is widely used in major fields such as power grid operation, operation management and high -quality services, and is changing all walks of life, and also leads the changes of big data talents. How about big data employment prospects? This is an important message for us in employment.
With the advent of the era of big data, this time the Ministry of Education has also been reforming.
The army is about to enter, and the whole people start to act. In 2019, major colleges and universities have opened big data majors. The real competition pressure will come immediately. Students who have joined the big data industry are very lucky. They must seize everything to seize the opportunity and devote themselves.
The life not only bowed his head to pull the car, but also looked up at the road.
01
Analysis of the needs of big data talent and status quo n
As the state attaches great importance to big data, the government supports big data, big data is germinated in enterprises. ,Bloom and bear fruit. In the next three to five years, China will need 1.8 million data talents, but currently only about 300,000 people.
PS: Job requirements of major recruitment websites
The forward -worry -free big data post search, a total of 29854 positions meet the conditions; Meet conditions; search and recruitment network big data job search, a total of 1000 positions meet the conditions; La Gou.com big data job search, a total of 500 positions meet the conditions.
Please click to enter the picture description
The high salary. As long as you dare to think, dare to pay, are you afraid of high salary?
02
The people with suitable big data
1, java
java and Java -based frame The skeletal stents of the largest high -tech companies in Silicon Valley. If you move to the previous prototype production and need to establish a large system, then Java is often your best choice.
2, python
python is often supported in the big data processing framework.
3, r
R language has become the darling of data science.
4, hadoop and hive
hadoop is slower than other processing tools, but it is surprisingly accurate, so it is widely used in back -end analysis. It and HIVE -a framework based on query and running on the top can be paired well.
The technical level, in fact, as long as the basic programmers transform big data have natural advanced advantages, even if you have not learned the above language, Hadoop is also possible.
03
Big data development and employment direction
Big data as a basic science, regardless of data development and analysis, the Internet of Things and artificial intelligence algorithms The training field has core technologies and job demands. So what are the job jobs in the development direction?
direction 1: Big data engineer, big data development engineer, big data maintenance engineer, big data research and development engineer, big data architect, etc.;
n direction 2: Big data analysis Division, senior data engineer, experts and experts from big data analysts, big data excavators, big data algorithms, etc.;
: Big data operation and maintenance engineer, etc.
If big data development This age is relatively small, because it is not simple programming to engage in big data, and the amount of programming is not even 1/6. Multi -aspects such as Victoria analyzed problems to solve problems.
The longer the time of survival in the big data industry, the more experience will be affirmed. This is also the analysis of big data for most senior IT people may bring a 50 or 60 -year -old “old” expert reason.
Faced with such a bright and attractive prospects, there are visionary people who have arranged for their back roads.
At present, the monthly salary of a big data engineer is easy to exceed 10,000, a big data engineer with several years of work experience, with a salary of 400,000 to 600,000 yuan, and the top big data technology talent It is an annual salary of more than one million.
Pay content for time limit to check for freenAnswer Hello, big data majors are very good, but if you just train for a few months, you ca n’t learn too much useful. The application of big data will inevitably be widely used in the future, so employment will definitely be much better. However, if you are a college undergraduate and you are studying scores, you can try to improve through training. At present, the training is J H, or Python. You need to have a programming foundation. Otherwise, it is very difficult to learn, and you can’t learn the real things. You must know that big data is now the industry supported by the country. Major enterprises also realize that big data is the basis for industrial intelligence, automation, precision, and personalization. There are many job opportunities. Study, study here, see many cooperative companies to recruit, and wages are still considerable.nThere are many employment positions in big data majors, such as: Java big data distributed program development, application and development of big data integration platforms, big data platform operation and maintenance
In general, there are several major segments in the field of big data 1 data cleaning, collection, crawler // partial script, crawler ability 2 data analysis // partial business, partial SQL, partial analysis capacity 3 data development // partial platform, partial project partial project, partial project The data mining capacity of the back -end and back -end development capabilities // partial algorithm. Generally speaking, the threshold for data analysis is the lowest, followed by data development and crawlers. The highest threshold is mining. Of course, the salary is relatively high. Starting from the application development, you can go to the two -direction house 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;