Specialized big data learn Linux system, Java language, data structure, introduction to big data, database fundamentals, Python language
Big data employment direction
Big data maintenance, research and development, architecture engineer direction: big data engineer
Big Data Maintenance, R&D and Architecture Engineer: Big Data Engineer, Big Data Maintenance Engineer, Big Data R&D Engineer, Big Data Architect, etc. Big Data Mining and Analysis: Big Data Analyst, Big Data Senior Engineer, Big Data Analyst Specialist, Big Data Mining, Big Data Algorithms.
Big Data Employment Prospects
The continuous development of science and technology, the IT industry is also constantly progressing, and now big data has become the IT field of the "new money", many high-paying jobs are also due to the development of big data technology and the emergence of many industries. The application of big data in many industries has just started, so there is still a lot of room for development, and, according to the current market demand for big data talents, the salary level of the big data field will continue to grow, the prospect is promising.
Big data is widely used
Content recommendation: the most representative of today's headlines, it is the use of big data technology to find your favorite content and recommended to you. Since the emergence of this product, many people have abandoned the previous way of reading news. It has made Netease News, Sina News, Tencent News and other products on a lot of fire. Now everyone is starting to learn from it in droves.
Items recommended: movie sites, music sites, e-commerce sites these sites will be put according to your browsing behavior analysis, according to your interests recommended to you the corresponding items, such as Love Qiyi, QQ music, Jingdong and so on.
Advertising calculations: the application of the better Baidu, Google, Taobao, Tencent, they have to calculate the ads based on the advertiser's price and the effect of the ads sorted, so as to achieve the best cash flow in the flow of the best effect, the speed of data processing and the magnitude of the data directly affects their income.
Finance: Banks are using big data to analyze users' consumption behavior, purchasing power, and repayment ability, which is used to reduce the risk of loans offered to users and reduce the ring-fencing rate.
Credit: Alipay's Sesame Credit adds more dimensions, such as your relationships, education, car, and other elements to assess your creditworthiness, providing better services to those with high creditworthiness, such as not having to pay a deposit when staying in a hotel with high creditworthiness.
Data analysis: this representative product is not much, but it is a very major scenario of big data application, generally customized within the company, so it is generally not public, but it is true that all kinds of companies are using it, such as traffic analysis of websites, analysis of user characteristics of related products, and semantic analysis of microblogging. These analytics can be used to provide a basis for decision-making on the direction of their business or product development.
Smart city: this is now more representative of the function is to be able to control the brightness of the street lights according to the flow of people, can achieve the effect of power saving. Through the traffic flow control traffic light changes to reduce road congestion.