Why is big data so popular? What skills do companies now focus on in big data talent recruitment? The dark horse programmer editor found through a large number of recruitment data on the recruitment website that most of the current recruitment requirements of enterprises focus on the five core technologies of big data.
The core technology that the big data industry must master
First: Big Data Collection Technology
Big data collection is divided into two important aspects. The first is the big data intelligent perception layer: it must focus on technologies such as intelligent identification, perception, adaptation, transmission, and access for big data sources. The second is the basic support layer: focusing on the distributed virtual storage technology, visual interface technology for big data acquisition, storage, organization, analysis and decision-making operations, big data network transmission and compression technology, big data privacy protection technology, etc.
Second: Big data preprocessing technology
Big data preprocessing technology mainly completes operations such as discrimination, extraction, and cleaning of received data. The data extraction process can help us transform these complex data into a single or easy-to-process configuration to achieve the purpose of rapid analysis and processing. Cleaning is to filter the data to remove invalid and inaccurate data, thereby extracting valid data.
Third: Big Data Storage and Management Technology
Big data storage and management need to use memory to store the collected data, establish a corresponding database, and manage and call. Focus on solving complex structured, semi-structured and unstructured big data management and processing technologies. It mainly solves several key issues such as storage, presentation, processing, reliability and effective transmission of big data.
Fourth: Big Data Analysis Technology Mining Technology
Big data analysis technology is to improve existing data mining and machine learning technologies; develop new data mining technologies such as data network mining, specific group mining, and graph mining; breakthrough object-based data connection, similarity connection and other big data fusion technologies; breakthroughs Domain-oriented big data mining technologies such as user interest analysis, network behavior analysis, and emotional semantic analysis.
Data mining of big data is to extract the potentially useful information and knowledge hidden in it from the large amount of incomplete, noisy, fuzzy, and random practical application data. the process of.
Fifth: Big data display and application technology
Big data presentation and application technology is the ultimate goal of big data. Big data technology can dig out the information and knowledge hidden in massive data and provide a basis for human social and economic activities, thereby improving the operating efficiency of various fields and greatly increasing the degree of intensification of the entire social economy. In my country, big data will be applied to the following three major areas: business intelligence, government decision-making, and public services.
At present, the core technologies involved in the big data industry are the five major aspects of collection, processing, storage, analysis, and application. Although it corresponds to the data processing analysis we have contacted before, each link seems simple, but in actual applications, due to the large amount of data and the variety of data, the final data analysis and analysis can only be achieved through big data technology. application. In the era of market economy, data support will become the basis for enterprise development. Therefore, if you can fully master big data-related technologies, you will definitely get better opportunities in the future career development.