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基于數(shù)據(jù)中臺的高校數(shù)據(jù)服務(wù)體系及快速應(yīng)用構(gòu)建研究
網(wǎng)絡(luò)安全與數(shù)據(jù)治理
陸劍江
(蘇州大學(xué)計算機(jī)科學(xué)與技術(shù)學(xué)院,江蘇蘇州215006)
摘要: 針對目前高校在數(shù)據(jù)集成、數(shù)據(jù)治理和數(shù)據(jù)服務(wù)等方面的問題,提出了基于數(shù)據(jù)中臺的解決方案,在數(shù)據(jù)的采集和加工處理中引入數(shù)據(jù)湖、主題層和專題層,并對數(shù)據(jù)中臺的整體架構(gòu)設(shè)計、中臺內(nèi)數(shù)據(jù)的分層設(shè)計、數(shù)據(jù)模型的構(gòu)建、數(shù)據(jù)服務(wù)體系的設(shè)計進(jìn)行了詳細(xì)闡述;對基于數(shù)據(jù)中臺的快速應(yīng)用構(gòu)建,提出了采用大中臺、微服務(wù)的系統(tǒng)建設(shè)方式,通過對系統(tǒng)進(jìn)行解構(gòu),重新根據(jù)不同業(yè)務(wù)邏輯進(jìn)行模塊化組裝,實現(xiàn)快速靈活構(gòu)建業(yè)務(wù)系統(tǒng)。經(jīng)過實際案例驗證,該研究對于高校如何建設(shè)數(shù)據(jù)中臺以及如何在中臺上開展各類數(shù)字應(yīng)用建設(shè)提供了很好的范例。
中圖分類號:TP399文獻(xiàn)標(biāo)識碼:ADOI: 10.19358/j.issn.2097-1788.2024.02.011
引用格式:陸劍江.基于數(shù)據(jù)中臺的高校數(shù)據(jù)服務(wù)體系及快速應(yīng)用構(gòu)建研究[J].網(wǎng)絡(luò)安全與數(shù)據(jù)治理,2024,43(2):73-77.
Research on university data service architecture and rapid application construction based on data platform
Lu Jianjiang
(School of Computer Science and Technology, Soochow University, Suzhou 215006, China)
Abstract: Aiming at the issue of data processing in data integration, data governance and data service in universities, this paper puts forward a solution based on data platform, which introduces data lake, subject layer and special subject layer in data collection and processing. The overall architecture design of the data platform, the hierarchical design of the data, the construction of data model and the design of data service architecture are described in detail. For the rapid application construction based on the data platform, this paper proposes to use the construction mode of large platforms plus micro services, which through deconstructing the system, and modular assembly is carried out according to different business logic to achieve constructing the systems rapidly and flexibly. By the verification of actual cases, it provides a good example for universities how to build a data platform and how to develop all kinds of digital application on the platform.
Key words : data platform; data integration; data lake; data service; data application

引言

隨著信息化的不斷深入,各種業(yè)務(wù)的數(shù)字化產(chǎn)生了前所未有的數(shù)據(jù)量,也生成了各種各樣的數(shù)據(jù)類型,這些給數(shù)據(jù)的共享和利用帶來了新的挑戰(zhàn),尤其是在一些互聯(lián)網(wǎng)平臺上,每天產(chǎn)生的數(shù)據(jù)對業(yè)務(wù)提出了更高的要求,此時,需要有更加靈活的、能力更強(qiáng)的平臺來負(fù)責(zé)大量的數(shù)據(jù)處理[1]。傳統(tǒng)模式下,每個業(yè)務(wù)模塊僅會處理各自龐雜的數(shù)據(jù),這樣不僅效率不高,還會產(chǎn)生很多重復(fù)的工作,由于每個業(yè)務(wù)模塊都是一個獨立的數(shù)據(jù)孤島,因此后續(xù)的數(shù)據(jù)交換和數(shù)據(jù)同步無法應(yīng)對靈活多變的業(yè)務(wù)需求,而這種多樣性的業(yè)務(wù)對數(shù)據(jù)的要求更高,數(shù)據(jù)本身的復(fù)雜性、對海量數(shù)據(jù)處理的要求、數(shù)據(jù)處理的實時性等都需要有能力更強(qiáng)的數(shù)據(jù)平臺來應(yīng)對[2]。高校的信息化發(fā)展已經(jīng)進(jìn)入了數(shù)字化和智能化的時代,各種業(yè)務(wù)基本完成了數(shù)字化改造,目前最大的問題是存在各種數(shù)據(jù)孤島,數(shù)據(jù)不能完全共享,各業(yè)務(wù)系統(tǒng)數(shù)據(jù)不能很好地為跨部門流程服務(wù),無法處理非結(jié)構(gòu)化數(shù)據(jù),無法很好地支撐實時數(shù)據(jù)等[3]。


作者信息:

陸劍江

(蘇州大學(xué)計算機(jī)科學(xué)與技術(shù)學(xué)院,江蘇蘇州215006)


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