{"title":"使用MongoDB加强电子学习系统中非结构化数据的管理","authors":"M. Stevic, B. Milosavljević, B. Perisic","doi":"10.1108/PROG-11-2013-0063","DOIUrl":null,"url":null,"abstract":"Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implication...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"49 1","pages":"91-114"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-11-2013-0063","citationCount":"8","resultStr":"{\"title\":\"Enhancing the management of unstructured data in e-learning systems using MongoDB\",\"authors\":\"M. Stevic, B. Milosavljević, B. Perisic\",\"doi\":\"10.1108/PROG-11-2013-0063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implication...\",\"PeriodicalId\":49663,\"journal\":{\"name\":\"Program-Electronic Library and Information Systems\",\"volume\":\"49 1\",\"pages\":\"91-114\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1108/PROG-11-2013-0063\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Program-Electronic Library and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/PROG-11-2013-0063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Program-Electronic Library and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/PROG-11-2013-0063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Social Sciences","Score":null,"Total":0}
Enhancing the management of unstructured data in e-learning systems using MongoDB
Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implication...
期刊介绍:
■Automation of library and information services ■Storage and retrieval of all forms of electronic information ■Delivery of information to end users ■Database design and management ■Techniques for storing and distributing information ■Networking and communications technology ■The Internet ■User interface design ■Procurement of systems ■User training and support ■System evaluation