Big data major belongs to the computer field. Big data majors mainly study how to extract valuable information from a large number of heterogeneous and rapidly changing data to support decision-making and forecasting.
The development of this field is inseparable from the support of computer technology, including data storage, processing and analysis. Therefore, big data major usually covers the basic knowledge and technology of computer science, such as data structure, algorithm, programming language, database technology, distributed system, artificial intelligence and so on.
Big data majors mainly study how to extract valuable information from a large amount of data to support decision-making and business development. This field involves computer science, mathematics, statistics, database technology and other disciplines.
Big data major is an interdisciplinary major, involving knowledge in computer science, mathematics, statistics and other fields. By studying big data major, you can master the methods and technologies of big data analysis and provide valuable decision support for enterprises and organizations.
The employment direction of big data major includes data analyst, data mining engineer, big data architect and data product manager.
1. Data analyst: Data analyst is one of the core positions of big data major. They are mainly responsible for collecting, sorting, analyzing and interpreting a large amount of data to provide valuable decision support for enterprises. Data analysts need to have strong data sensitivity, logical thinking ability and communication skills.
2. Data mining engineer: Data mining engineers are mainly engaged in extracting valuable information and knowledge from a large amount of data. They need to master data mining algorithms, machine learning and other related technologies in order to discover potential laws and trends from massive data. Data mining engineers usually need to have strong programming ability and mathematical foundation.
3. Big data architect: The big data architect is responsible for designing and building a big data platform to meet the business needs of enterprises. They need to be familiar with big data processing frameworks such as Hadoop and Spark, as well as related technologies such as database and storage. Big data architects also need to have strong project management and teamwork skills.
4. Data product manager: The data product manager is mainly responsible for data collection, integration, analysis and visualization, so as to provide users with valuable data products. They need to have strong market sensitivity and user experience design ability, and also need to master certain data analysis skills.