Big data employment prospect analysis - good programmer big data training, big data is widely used in major fields such as power grid operation, operation management and quality service. It is changing all walks of life and leading the change of big data talents. What about the employment prospects of big data ? This is a very important message for us who are in the middle of employment.
With the advent of the era of big data, this time the Ministry of Education has also reformed itself.
The army is about to enter, and all the people are in action. In 2019 , major universities have set up big data majors, and real competitive pressure will soon come. Students who have joined the big data industry are very lucky. They must seize everything that can seize the opportunity and devote themselves wholeheartedly.
Life is not just pulling down a car, but looking up at the road.
1. Demand and status analysis of big data talents
As the country attaches importance to big data and the government supports big data, big data takes root in enterprises and blossoms. In the next three to five years, China needs 1.8 million data talents, but currently there are only about 300,000 .
PS : Job requirements of major recruitment websites
Future- care worry-free big data job search, a total of 29854 jobs meet the conditions ; Zhilian recruitment big data job search, a total of 27627 jobs meet the conditions ; Hunting recruitment big data job search, a total of 1000+ jobs meet the conditions ; Lagou. Job search, a total of 500+ jobs meet the conditions.
As long as you dare to think and pay, are you not afraid of the high salary ?
2. The talent gap is large and the money is promising
1)Java
Java and Java- based frameworks have been found to have become the skeletons of the largest high-tech companies in Silicon Valley. If you move to the past for prototyping and need to build large systems, then Java is often your best choice.
2)Python
Python is often supported in big data processing frameworks.
3)R
R language has become the darling of data science.
4)Hadoop和Hive
Hadoop is slower than some other processing tools, but it is surprisingly accurate, so it is widely used for back-end analysis. It works well with Hive , a query-based framework that runs on top.
On the technical level, in fact, as long as a little basic programmer transforms big data, it has natural advanced advantages, even if you have not learned the above languages to get started with Hadoop .
3 , Big Data to develop employment direction
Big data is a basic science. No matter in the fields of data development and analysis, Internet of Things and artificial intelligence algorithm training, there are core technologies and job demands, so what are the corresponding job positions in the development direction ?
Direction 1 : Big data engineer, big data development engineer, big data maintenance engineer, big data R & D engineer, big data architect, etc .;
Direction 2 : Big Data Analyst, Big Data Senior Engineer, Big Data Analyst Expert, Big Data Miner, Big Data Algorithm Engineer, etc .;
Direction 3 : Big data operation and maintenance engineers, etc.
Big data development has a relatively small impact on age, because big data is not simple programming, and the amount of programming is not even 1/6 . Many times you need to analyze the problem from multiple aspects such as server, storage, calculation, operation and maintenance, etc. Solve the problem.
The longer you survive in the big data industry, the more certain your experience will be. This is why most senior IT professionals analyzing big data may bring 50- and 60 -year-old “old” experts.