Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at

In the modem computing, database is one of the important aspects of it. Every system is using database whether it is small or complex. Database stores data and the system can modify it according to the needs such as insert, delete or update data. The volume of the data stored in a database is var...

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Main Author:	Mohd Sa'at, Mohd Shahrizan
Format:	Thesis
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2007
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1687/ http://ir.uitm.edu.my/id/eprint/1687/1/TD_MOHD%20SHAHRIZAN%20MOHD%20SA%27AT%20CS%2007_5%20P01.pdf

id	uitm-1687
recordtype	eprints
spelling	uitm-16872019-07-22T02:22:54Z http://ir.uitm.edu.my/id/eprint/1687/ Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at Mohd Sa'at, Mohd Shahrizan Electronic computers. Computer science In the modem computing, database is one of the important aspects of it. Every system is using database whether it is small or complex. Database stores data and the system can modify it according to the needs such as insert, delete or update data. The volume of the data stored in a database is various between each database. It is ranging from several data and up to hundred thousands and even millions of data per database especially or the web based system. The web based system is usually used by anyone at everywhere in every time in the world. Web based system such as www.lelong.com.my for example record each day activities done by the user. This makes the database become very large as data was continuously inserted. So the performance of the database must be good enough to ensure the data processing doesn't take too much time. i-Leam system is a web based system developed for Mara University of Technology e-learning system. Each transaction made in this system is recorded and that's make its database's size increasing each time a single transaction is made. I-Leam system has a subsystem named i-Learn Web Analytic System that generate report of the activities made in the system by user for the administrator. As the database is very big with millions of data, the performance of the database must be good so that the report generating time can be reduced. This research will identify the available methods to enhance the database performance and implement it to the i-Leam Web Analytic System to enhance the performance of its database. Faculty of Computer and Mathematical Sciences 2007 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1687/1/TD_MOHD%20SHAHRIZAN%20MOHD%20SA%27AT%20CS%2007_5%20P01.pdf Mohd Sa'at, Mohd Shahrizan (2007) Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science
spellingShingle	Electronic computers. Computer science Mohd Sa'at, Mohd Shahrizan Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
description	In the modem computing, database is one of the important aspects of it. Every system is using database whether it is small or complex. Database stores data and the system can modify it according to the needs such as insert, delete or update data. The volume of the data stored in a database is various between each database. It is ranging from several data and up to hundred thousands and even millions of data per database especially or the web based system. The web based system is usually used by anyone at everywhere in every time in the world. Web based system such as www.lelong.com.my for example record each day activities done by the user. This makes the database become very large as data was continuously inserted. So the performance of the database must be good enough to ensure the data processing doesn't take too much time. i-Leam system is a web based system developed for Mara University of Technology e-learning system. Each transaction made in this system is recorded and that's make its database's size increasing each time a single transaction is made. I-Leam system has a subsystem named i-Learn Web Analytic System that generate report of the activities made in the system by user for the administrator. As the database is very big with millions of data, the performance of the database must be good so that the report generating time can be reduced. This research will identify the available methods to enhance the database performance and implement it to the i-Leam Web Analytic System to enhance the performance of its database.
format	Thesis
author	Mohd Sa'at, Mohd Shahrizan
author_facet	Mohd Sa'at, Mohd Shahrizan
author_sort	Mohd Sa'at, Mohd Shahrizan
title	Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
title_short	Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
title_full	Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
title_fullStr	Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
title_full_unstemmed	Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at
title_sort	enhancement of data retrieval performance for i-learn web analytic system / mohd shahrizan mohd sa'at
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2007
url	http://ir.uitm.edu.my/id/eprint/1687/ http://ir.uitm.edu.my/id/eprint/1687/1/TD_MOHD%20SHAHRIZAN%20MOHD%20SA%27AT%20CS%2007_5%20P01.pdf
first_indexed	2023-09-18T22:46:10Z
last_indexed	2023-09-18T22:46:10Z
_version_	1777417239247454208

Enhancement of data retrieval performance for i-Learn Web Analytic System / Mohd Shahrizan Mohd Sa'at

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