Big Data is the industry term for the IT sector, this massive data set name. Big data (big data), refers to the collection of data can not be captured, managed and treated with conventional software tools within a certain time frame, the new model requires processing in order to have greater decision-making power, strength and insight discovery process optimization capabilities of mass , high growth rates and diverse information assets.
In various shopping platform, users received shopping product recommendations, it is to use the results of big data. Often use Taobao people may have such a feeling, a few days before a product search, after a few days will often receive a recommendation related products.
Not only is shopping, big data can also be used for estimated future situation. With the widespread use of big data, future applications of big data is an inevitable trend. Between the coming 10-20 years, the development trend of big data must be more rapid. With the popularity of mobile Internet and intelligent terminals, convergence and economic and social integration of information technology, led to the rapid growth of data. New Moore's Law believes that the total amount of data in human history, every 18 months to double. The vast amounts of data contains a huge productivity and business opportunities.
Between 2011 to 2014 for four years, China's big data in its infancy, the annual average growth of more than 20%. By 2015, big data market has reached 9.89 billion yuan. 2016 growth rate reached 45%, more than 16 billion yuan. By 2020, China's large market size data will be over 800 billion yuan, is expected to become the world's first data resources in the country.
However, low data openness, technology is weak, lack of talent, industry applications and so are not in-depth development of industry problems to be solved. China Chamber of Commerce Professional Committee of Statistics show that the data analysis, the next 3-5 years, China will need 1.8 million personnel data, but as of now, China employing big data only about 30 million people. Meanwhile, Big Data industry before the election standards are constantly changing.
Initially, demand for big data talent mainly in the field of ETL partial hardware development, system architecture development, data warehousing research, to the IT, human computer background of the majority. With big data to each of the vertical extension of the development areas of statistics, mathematics professional personnel, data analysis, data mining, increase the demand partial software in the field of artificial intelligence.
Big Data learning technology, development engineers can engage in large data, large data systems R & D engineers, data analysts, and so big. It also reinforces the new vitality of the original post, such as network engineers, system architects, database management and development and so on. Then, as we focus on the analysis under the current mainstream big data-related jobs:
1, big data system development engineer
Responsible for large data systems research and development, including large-scale unstructured data to build business models, large data storage, database architecture and database design detailed design, optimized database architecture, database center construction design to solve the problem. They are also responsible for the daily operation of the cluster, system monitoring and configuration, Hadoop integration with other systems.
2, Big Data Application Development Engineer
Big Data Development Engineer is responsible to build the entire technology framework, responsible for the overall design of the program running in the background. Construction of a building as the overall framework of the same. The importance of self-evident. At present this requirement is to require the main job of a skilled Java, Hadoop, Spark, Hive, Hbase and so on. Generally higher salaries, the following will be introduced to it for everyone.
3, Big Data Analyst
Analyze the use of algorithms to solve problems and engage in data mining. Their biggest skill is the ability to make data tells the truth. In addition, they also have expertise in a particular field, to help develop data products, and promote constantly updated data solutions.
4, data visualization engineers
Have good communication skills and team spirit, strong sense of responsibility, we have excellent problem solving skills. They are responsible for the quality of data collected, the use of graphical tools and application means, at a glance reveal complex information data, to help companies better develop large data applications, large data found great wealth behind.
Overall, the case of Beijing, the average monthly salary in Beijing related to big data work for 22,050 yuan, three percent more than the monthly salary of big data practitioners located in 30K-50K range, a monthly salary of nearly 20 percent of large data practitioners in 20K- 30K range, 10K-20K of the number of practitioners accounted for three percent.
1, big data systems R & D engineers, general monthly salary is between 30K-50K, generous benefits.
2, Big Data application development engineers, general salary also located between 30K-50K. Overall salary level is very impressive.
3, Big Data analyst 33.2% of payroll practitioners in the range of 20K-30K, 10K-15K and 30K-50K practitioners within the range of the number of nearly 20%, 15K-20K range of practitioners accounted for 15.8%.
4, data visualization engineers, 25% of payroll practitioners in the 30K-50K range, 36.7% of practitioners in salary between 20K-30K, 10K-20K of the number of practitioners accounted for nearly thirty percent.
Large data from concept fell on the ground, are widely used in precision marketing, medical wisdom, studio entertainment, finance, education, sports, security and other fields, as cloud computing, networking, rapid development of mobile Internet and other supporting industries, future big data will have broader applications market space. So, for students who are interested in large data, large data entry job now is very appropriate. The best time to plant a tree was a decade ago, followed now!
