Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "fbbbca12-5e75-4b2e-bee0-9b0408c2f354"}, "_deposit": {"id": "3716", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3716"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3716", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "DATA WAREHOUSE FOR STUDENT INFORMATION SYSTEM USING STAR AND SNOWFLAKE SCHEMA", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Data warehouses collectinformation from remotesources into a single database. Data Warehouse iscreated for speed up queries by reducing the volumeof data to be scanned. Data warehousing and on lineanalytical processing (OLAP) are essential elementsof decision support, whic h has increasingly become afocus of the database industry . OLAP system is amethodology that support summarized report forknowledge worker (e.g. analyst, executive) in relatedfield. And then develop OLAP tools to retrieveinformation from data warehouse . This paperproposes to develop a data warehouse for historicalstudent information. It collects the data from differentstudent data and create s a data warehouse . Thepurpose of this paper is intended to view the detail ofhistorical student’s informatio n for ComputerUniversity of Magway. Finally, this paper providesnot only OLAP operation by using star and snowflakeschema but also compares the time that take forsearching historical data by using roll up and drilldown operation between star and snowf lake schema."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Data warehouse and OLAP"}, {"interim": "Star Schema and Snowflake Schema"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-29"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "54026.pdf", "filesize": [{"value": "824 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 824000.0, "url": {"url": "https://meral.edu.mm/record/3716/files/54026.pdf"}, "version_id": "8e6885bd-e9c3-498d-9d40-0d93a8218bcc"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aung, Han Su"}, {"subitem_authors_fullname": "Latt, Yin Ko"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1453"}, "item_title": "DATA WAREHOUSE FOR STUDENT INFORMATION SYSTEM USING STAR AND SNOWFLAKE SCHEMA", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003716", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-29"}, "publish_date": "2019-07-29", "publish_status": "0", "recid": "3716", "relation": {}, "relation_version_is_last": true, "title": ["DATA WAREHOUSE FOR STUDENT INFORMATION SYSTEM USING STAR AND SNOWFLAKE SCHEMA"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

DATA WAREHOUSE FOR STUDENT INFORMATION SYSTEM USING STAR AND SNOWFLAKE SCHEMA

http://hdl.handle.net/20.500.12678/0000003716
http://hdl.handle.net/20.500.12678/0000003716
1ff96878-fca6-487d-9b94-21d484264126
fbbbca12-5e75-4b2e-bee0-9b0408c2f354
None
Preview
Name / File License Actions
54026.pdf 54026.pdf (824 Kb)
Publication type
Article
Upload type
Publication
Title
Title DATA WAREHOUSE FOR STUDENT INFORMATION SYSTEM USING STAR AND SNOWFLAKE SCHEMA
Language en
Publication date 2009-12-30
Authors
Aung, Han Su
Latt, Yin Ko
Description
Data warehouses collectinformation from remotesources into a single database. Data Warehouse iscreated for speed up queries by reducing the volumeof data to be scanned. Data warehousing and on lineanalytical processing (OLAP) are essential elementsof decision support, whic h has increasingly become afocus of the database industry . OLAP system is amethodology that support summarized report forknowledge worker (e.g. analyst, executive) in relatedfield. And then develop OLAP tools to retrieveinformation from data warehouse . This paperproposes to develop a data warehouse for historicalstudent information. It collects the data from differentstudent data and create s a data warehouse . Thepurpose of this paper is intended to view the detail ofhistorical student’s informatio n for ComputerUniversity of Magway. Finally, this paper providesnot only OLAP operation by using star and snowflakeschema but also compares the time that take forsearching historical data by using roll up and drilldown operation between star and snowf lake schema.
Keywords
Data warehouse and OLAP, Star Schema and Snowflake Schema
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1453
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 13:22:44.341547
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL