Enhancing the management of unstructured data in e-learning systems using MongoDB. Issue 1 (2nd February 2015)
- Record Type:
- Journal Article
- Title:
- Enhancing the management of unstructured data in e-learning systems using MongoDB. Issue 1 (2nd February 2015)
- Main Title:
- Enhancing the management of unstructured data in e-learning systems using MongoDB
- Authors:
- Stevic, Milorad Pantelija
Milosavljevic, Branko
Perisic, Branko Rade - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. </p> </sec> <sec> <title content-type="abstract-heading">Practical implications</title> <p> – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.</p> </sec> </abstract> … (more)
- Is Part Of:
- Program. Volume 49:Issue 1(2015)
- Journal:
- Program
- Issue:
- Volume 49:Issue 1(2015)
- Issue Display:
- Volume 49, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 49
- Issue:
- 1
- Issue Sort Value:
- 2015-0049-0001-0000
- Page Start:
- 91
- Page End:
- 114
- Publication Date:
- 2015-02-02
- Subjects:
- Libraries, University and college -- Great Britain -- Automation -- Periodicals
025.30285 - Journal URLs:
- http://www.emeraldinsight.com/journals.htm?issn=0033-0337 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/PROG-11-2013-0063 ↗
- Languages:
- English
- ISSNs:
- 0033-0337
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6864.320000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3062.xml