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2025-02-24 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article mainly introduces the relevant knowledge of "what are the core technologies that must be mastered by big data industry". The editor shows you the operation process through actual cases, and the operation method is simple, fast and practical. I hope that this article "what are the core technologies that must be mastered by big data industry" can help you solve the problem.
First: big data's collection technology
Big data collection is divided into two important aspects, the first is big data intelligent perception layer: we must focus on intelligent identification, perception, adaptation, transmission, access and other technologies for large data sources. The second is the basic support layer: focus on conquering distributed virtual storage technology, big data acquisition, storage, organization, analysis and decision operation visual interface technology, big data network transmission and compression technology, big data privacy protection technology and so on.
Second: big data pretreatment technology
Big data preprocessing technology mainly completes the operations such as discrimination, extraction and cleaning of the received data. The process of data extraction can help us to transform these complex data into a single or easy-to-process configuration, so as to achieve the purpose of rapid analysis and processing. Cleaning is to remove invalid data and imprecise data by filtering data, so as to extract effective data.
Third: big data storage and management technology
Big data storage and management need to use memory to store the collected data, establish the corresponding database, and manage and call. Focus on complex structured, semi-structured and unstructured big data management and processing techniques. It mainly solves several key problems of big data, such as storability, representability, processability, reliability and effective transmission.
Fourth: big data analysis technology mining technology
Big data analysis technology is to improve the existing data mining and machine learning technology; to develop new data mining technologies such as data network mining, special group mining and graph mining; to break through big data fusion technologies such as object-based data connection and similarity connection; to break through domain-oriented big data mining technologies such as user interest analysis, network behavior analysis, emotional semantic analysis and so on.
Big data's data mining is a process of extracting hidden, unknown but potentially useful information and knowledge from a large number of, incomplete, noisy, fuzzy and random practical application data.
Fifth: big data presentation and application technology
Big data's presentation and application of technology is big data's ultimate goal. Big data technology can mine the information and knowledge hidden in the massive data, provide a basis for human social and economic activities, so as to improve the operational efficiency of various fields and greatly improve the intensive degree of the whole social economy. In China, big data will focus on the following three major areas: business intelligence, government decision-making, and public service.
At present, the core technologies involved in big data industry are collection, processing, storage, analysis and application. Although corresponding to the data processing and analysis we have come into contact with before, each link seems simple, but in practical application, due to the large amount of data and many kinds of data, the final data analysis and application can only be realized through big data technology. In the era of market-oriented economy, data support will become the basis for the development of enterprises. Therefore, if we can fully master the relevant skills of big data, we will certainly be able to get better opportunities in the future workplace development.
This is the end of the content about "what are the core technologies that must be mastered by big data industry". Thank you for your reading. If you want to know more about the industry, you can follow the industry information channel. The editor will update different knowledge points for you every day.
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