In recent years, big data is not unpopular, especially in 2017, the development of the big data industry was written into the government work report, and big data began to appear not only in the strategy of enterprises, but also in the planning of the government. It can be said to be the darling of the Internet world.
According to the "Big Data Talent Report", big data-related jobs are mainly divided into four categories: big data development, data mining, image/vision, and voice . As of November 2017, 427,120 resume samples were analyzed.
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In 2017, the demand for big data and artificial intelligence talents grew rapidly, the recruitment demand soared by 6 times, and the growth rate of big data demand was the most astonishing, reaching 795%.
The talent flow demand of unicorn companies is obvious, and JD.com has the strongest performance in terms of talent inflow. This ratio is as high as 3.09, ranking first among the top ten companies.
Beijing's talent pool has a monopoly advantage, more than 40% higher than the second-placed Shanghai. Hangzhou leads the second-tier cities, at least 42% higher than the second-tier city clusters. The talent pool is beginning to approach Guangzhou, and there is a huge talent gap in the first- and second-tier cities. The demand for big data in third-tier cities has grown significantly.
Big data and artificial intelligence salaries are generally high, with an average fixed annual salary of 380,000. The salary premium is especially obvious. The starting salary exceeds 190,000 per year, which is 134% higher than that of ordinary Internet technicians.
At present, there are only 460,000 big data talents in the country. In the next 3-5 years, the gap of big data talents will be as high as 1.5 million. But how many people know the value of big data?
Why is there such a huge market, and what is so unique about big data?
Enterprises can use a large amount of consumer consumption data for precise marketing of products.
Enterprises can use big data to transform services, produce products according to consumer demand, and improve product competitiveness.
The precipitation of user data of small and medium-sized enterprises makes consumer data not only in the hands of sales.
Optimize the company's operational capabilities from three aspects: data-guided production, data-accurate sales, and data-accumulating users.
Seeing this, some people will ask, since it is so good, why are there so few practitioners? The situation is as you might think.
No one : At present, the top big data development talents in China are very scarce.
The salary is not low and there is no need to teach everyone : with more than three years of big data development experience, the general salary is 35K-50K.
It is required to have both teaching and practical experience : there is teaching experience, but no practical experience, and practical experience but no teaching experience.
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"Big Data Artificial Intelligence Deep Learning Practical Application Technology"
"Development of Tmall Double 11 Large-screen Real-time Transaction Architecture by Big Data Ecological Components"
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"The movie "The predecessor 3" movie evaluation massive data collection and real-time analysis"
When it comes to this, some people will ask, but unfortunately I don't know anything, can I learn? The editor tells everyone that if you have other programming language foundations, you basically don’t have to worry about this problem. With the programming foundation, you can learn it by following the following mind map.
As recently as April 1, banks and payment institutions implemented limit management on barcode payment services for individual customers. Among them, when using static scanning code to pay, the cumulative transaction amount of a single bank account or all payment accounts of the same customer in a single day should not exceed 500 yuan.
Some people in the industry pointed out that this move is in the interests of banks, and big data is a potential advantage of e-commerce companies. In the era of mobile payment, these payment transaction data are no less than a "gold mine" with unlimited potential to be tapped for enterprises.
In fact, with the change and deepening of mobile payment and the business needs of small and micro enterprises, big data is developing in depth with third-party payment, and the opportunities derived from big data may become the next business growth driver.
At present, it is a commercial data product of a commercial data network. The first type is the cash register situation, the second type is the customer situation, and the third type is the e-commerce business order situation. On top of these commercial data, data operation services, such as credit reporting services and risk control services, can also be provided. "It can be said that the big data outlet has arrived.
Many third-party application service organizations have begun to mine new machines on big data. For example, the mining and application of big data in financial institutions is carried out from the following two dimensions: analyzing the transaction behavior of merchants and cardholders, providing support for risk control, analyzing high-quality merchants, and providing financial services for them with "payment + finance" solutions .
There are many directions for the application of big data. Waiting for everyone to find out. "After the market model has been explored and clarified, the most important thing is to continuously accumulate data and establish its own data advantages.
At present, it is the easiest for java to transform into big data. If you accidentally understand java, congratulations, you must cherish this opportunity.
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