1. Key policy support and broad market prospects
In 2014, big data was included in the government work report for the first time, and big data has gradually become a hot spot for governments at all levels.
In September 2015, the State Council issued the "Action Outline for Promoting the Development of Big Data", and big data officially rose to the level of national strategy. The report of the 19th National Congress of the Communist Party of China proposed to promote the deep integration of big data and the real economy.
In the "14th Five-Year Plan" released in 2021, the improvement of the big data standard system has become the focus of development.
The "2021-2022 China Big Data Industry Development Report" issued by the Big Data Branch of China Information Association predicted that from 2021 to 2023, China's big data industry market will maintain a growth rate of more than 12%, and the overall scale will reach 1,152.25 billion yuan in 2023 .
2. The industry is developing rapidly and there is a huge talent gap
With the exponential growth of global data volume, the wide application of big data technology and the demand of enterprises for data-driven decision-making, there is a high demand for big data professionals in various industries.
The Ministry of Human Resources and Social Security once issued an article "New Occupation-Analysis Report on the Employment Prosperity of Big Data Engineering and Technical Personnel", stating that with the continuous development of technology applications such as big data, the Internet of Things, and 5G, the society's demand for employees in this occupation is increasing. It is estimated that the demand for big data talents will maintain a growth rate of 30%-40% before 2025, and the total demand will be around 20 million.
3. The demand for talents is exploding, ranking among the highest salaries in the industry
In the "2022 Future Talent Employment Trend Report" released by a company, the big data industry has become a rookie in the high-paying industry. The average salary of practitioners in the big data industry in 2018 is 203,600 yuan, and the average annual salary in 2022 is 252,300 yuan.
Of course, different cities and different industries have different salary levels, but big data engineers have always been socially recognized high-paying professions.
According to the statistics of a certain website, the average salary of data development positions can reach 27089/month nationwide .
Who is suitable for big data?
Fresh graduates
He has no clear goals and plans for the future, lacks work experience and practical skills, is interested in the data industry, and expects to enter the IT industry by studying data courses.
career change staff
The current industry development is unfriendly or deeply introverted. I hope to switch to the big data industry, adapt to the needs of the times, and seize the dividends of the times. For example: IOS industry, sales industry, etc.
Have a foundation and seek system upgraders
Have a certain data theory or foundation, but need to master more systematic data technology and practical experience, and apply it to actual business work.
Data development technology enthusiast
People who have strong logical thinking ability, want to follow the trend of the times, deal with complex data business scenarios, and are interested in the data industry.
What should I do if I enter the industry with zero foundation?
People with zero foundation want to enter the big data industry. It is recommended to start with this course: Bo Xue Valley Python + big data, from entry to employment, to help you quickly become a powerful data engineer.
1. Zero-based students can start with Python
Python language is a standard programming language for big data development
Various mainstream open source frameworks for big data have provided Python support one after another. Python is the official first recommended programming language for Spark.
Popular language, top of the programming language list
In recent years, due to the development of big data, artificial intelligence and other industries, Python has grown rapidly, and even left C, C++ and Java behind, and jumped to the top of the programming language list.
May 2023, TIOBE programming language list
It is easier to use Python to process big data.
Compared with Java/C/C++ and other languages, the syntax of Python is very concise and clear. Even beginners who are not software majors can easily get started.
Big Data Learning Route 2023 Edition - Big Data Learning Roadmap for Dark Horse Programmers
Other issues you care about
1. Both Python and Java can do data development, which one is easier to get started?
Python is an object-oriented interpreted computer programming language with a rich and powerful library.
Python is often called the glue language, which can easily combine various modules made in other languages. Compared with Java, C language, etc., Python is easy to learn, and it is more suitable for beginners who have no programming foundation.
2. Which has better employment prospects, Python big data or Java big data?
Java and Python are programming languages, and big data is a complete ecology, including data collection, data storage, data ETL, data analysis, data mining, data display, etc.
The current development trend of Python is very good. With the development of big data and artificial intelligence, the application of Python will be more widely popularized. The Python language supports most big data ecological technologies, including technology stacks such as PySpark and PyFlink.
Therefore, as far as the current trend is concerned, Python big data is more promising.