本文選題：網(wǎng)絡(luò)服務(wù) + 金融數(shù)據(jù)　； 參考：《武漢理工大學(xué)》2013年碩士論文

【摘要】：金融數(shù)據(jù)是人類在社會(huì)發(fā)展中從事各種經(jīng)濟(jì)活動(dòng)所產(chǎn)生的數(shù)據(jù)資料。伴隨著國(guó)民經(jīng)濟(jì)的日益發(fā)展和進(jìn)步,金融數(shù)據(jù)也在不斷的產(chǎn)生和更新。金融數(shù)據(jù)平臺(tái)是對(duì)金融數(shù)據(jù)進(jìn)行統(tǒng)一收集、管理、發(fā)布和共享的軟件平臺(tái)。本文以面向服務(wù)的架構(gòu)方法對(duì)金融數(shù)據(jù)平臺(tái)進(jìn)行了分析和建模,它可以對(duì)金融數(shù)據(jù)進(jìn)行高質(zhì)量的數(shù)據(jù)收集、管理和發(fā)布。通過(guò)本文提出的基于網(wǎng)絡(luò)服務(wù)的用戶個(gè)性化服務(wù)的建立可以提供符合用戶個(gè)性化需求的數(shù)據(jù)服務(wù)。對(duì)于金融分析人員,則可以通過(guò)本數(shù)據(jù)平臺(tái)的應(yīng)用業(yè)務(wù)來(lái)進(jìn)行快速準(zhǔn)確的業(yè)務(wù)分析從而進(jìn)行準(zhǔn)確的決策制定。本文可以有效的指導(dǎo)金融數(shù)據(jù)平臺(tái)實(shí)施的整個(gè)過(guò)程,對(duì)其他數(shù)據(jù)平臺(tái)的建立也有一定的參考作用。 本文討論了傳統(tǒng)金融數(shù)據(jù)平臺(tái)在新的經(jīng)濟(jì)形勢(shì)下存在的問(wèn)題和不足,分析了其在新的技術(shù)時(shí)代所面臨的挑戰(zhàn)。在介紹了面向服務(wù)架構(gòu)的概念和特性的過(guò)程中,用面向服務(wù)的架構(gòu)方式對(duì)金融數(shù)據(jù)平臺(tái)進(jìn)行了全面的研究和實(shí)踐,并以時(shí)序性很強(qiáng)的股票數(shù)據(jù)為例對(duì)金融數(shù)據(jù)平臺(tái)進(jìn)行了全面的架構(gòu)和設(shè)計(jì)。在數(shù)據(jù)的錄入模塊,對(duì)同構(gòu)和異構(gòu)數(shù)據(jù)都進(jìn)行了充分的分析,包括如何對(duì)購(gòu)買的數(shù)據(jù)進(jìn)行同化,如何充分利用互聯(lián)網(wǎng)的金融數(shù)據(jù)來(lái)對(duì)數(shù)據(jù)庫(kù)進(jìn)行更新；在數(shù)據(jù)庫(kù)設(shè)計(jì)模塊,充分考慮了高并發(fā)性的解決方案,利用金融數(shù)據(jù)的時(shí)序性對(duì)數(shù)據(jù)庫(kù)進(jìn)行了多級(jí)緩存的設(shè)計(jì),同時(shí)利用數(shù)據(jù)庫(kù)復(fù)制技術(shù)來(lái)實(shí)現(xiàn)了數(shù)據(jù)庫(kù)的增量備份,提升了數(shù)據(jù)庫(kù)的安全性；在數(shù)據(jù)服務(wù)發(fā)布模塊,提供了四種數(shù)據(jù)調(diào)整的方法以便于不同需求的用戶能夠各取所需,同時(shí)利用網(wǎng)絡(luò)服務(wù)的特性進(jìn)行了用戶個(gè)性化服務(wù)的設(shè)計(jì),并在此基礎(chǔ)上以自定義服務(wù)的調(diào)用比例對(duì)金融數(shù)據(jù)服務(wù)進(jìn)行了改進(jìn),它可以顯著的提升用戶的操作體驗(yàn),同時(shí)可以大幅度的減小服務(wù)器端的壓力。 本文以面向服務(wù)的架構(gòu)方法對(duì)金融數(shù)據(jù)平臺(tái)的架構(gòu)進(jìn)行了研究,并對(duì)建立一個(gè)完整的金融數(shù)據(jù)平臺(tái)的各個(gè)組成模塊進(jìn)行了研究設(shè)計(jì)。重點(diǎn)對(duì)服務(wù)提供模塊進(jìn)行了詳細(xì)的設(shè)計(jì),提出了基于WebService的用戶自定義服務(wù)的設(shè)計(jì)方法。本文的下一步工作就是對(duì)自定義服務(wù)進(jìn)行數(shù)據(jù)挖掘,以提供更好的金融數(shù)據(jù)服務(wù)。
[Abstract]:Financial data is the data generated by human being engaged in various economic activities in social development. With the development and progress of the national economy, financial data are constantly produced and updated. Financial data platform is a software platform for collecting, managing, distributing and sharing financial data. This paper analyzes and models the financial data platform with a service-oriented architecture, which can collect, manage and publish the financial data with high quality. The establishment of user personalization service based on network service proposed in this paper can provide the data service that meets the needs of user personalization. For financial analysts, the application of this data platform can be used for rapid and accurate business analysis to make accurate decisions. This paper can effectively guide the whole process of the implementation of financial data platform, and also has some reference to the establishment of other data platforms. This paper discusses the problems and shortcomings of the traditional financial data platform in the new economic situation, and analyzes the challenges it faces in the new technological era. In the course of introducing the concept and characteristic of Service-Oriented Architecture, the financial data platform is researched and practiced in the way of Service-Oriented Architecture. Taking stock data with strong timing as an example, the financial data platform is designed. In the data input module, the isomorphic and heterogeneous data are fully analyzed, including how to assimilate the purchased data, how to make full use of the Internet financial data to update the database; in the database design module, The solution of high concurrency is fully considered, and the multilevel cache is designed by using the timing of financial data. At the same time, the incremental backup of database is realized by using database replication technology, and the security of database is improved. In the data service release module, four methods of data adjustment are provided to facilitate the users with different needs to get what they need. At the same time, the characteristics of the network services are used to design the personalized services of users. On the basis of this, the financial data service is improved with the proportion of the custom service, which can significantly improve the user's operation experience and reduce the pressure of the server. In this paper, the architecture of the financial data platform is studied with the method of service-oriented architecture, and each component module of establishing a complete financial data platform is researched and designed. This paper focuses on the detailed design of service supply module, and puts forward the design method of user-defined service based on WebService. The next step of this paper is to mine custom services to provide better financial data services.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP393.09;F830

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 姜春秀;基于大數(shù)據(jù)的大型房地產(chǎn)企業(yè)成本控制研究[D];山東建筑大學(xué);2015年

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本文編號(hào)：1914576