Gudang data: Perbedaan antara revisi
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'''Gudang data''' ([[Bahasa Inggris]]: ''data warehouse'') adalah suatu [[sistem]] [[komputer]] untuk [[arsip|mengarsipkan]] dan [[analisis|menganalisis]] [[data]] historis suatu [[organisasi]] seperti data penjualan, gaji, dan [[informasi]] lain dari operasi harian. Pada umumnya suatu organisasi menyalin informasi dari sistem operasionalnya (seperti penjualan dan SDM) ke gudang data menurut jadwal teratur, misalnya setiap malam atau setiap akhir minggu. Setelah itu, manajemen dapat melakukan [[kueri]] kompleks dan analisis (contohnya [[penambangan data]], ''data mining'') terhadap informasi tersebut tanpa membebani sistem yang operasional. Gudang data terdiri dari 4 komponen terpisah, antara lain ''operational source system'', ''data staging area'', ''data presentation area'', dan ''data access tool''.<ref>{{Cite journal|last=Fanani|first=Mochamad Ilham|last2=Andrawina|first2=Luciana|last3=Soesanto|first3=Rayinda Pramuditya|date=Oktober 2021|title=PERANCANGAN DATA WAREHOUSE DAN DASHBOARD DENGAN METODE
KIMBALL DENGAN STUDI KASUS DATA SDM INSTITUT TEKNOLOGI
TELKOM SURABAYA|url=https://repository.telkomuniversity.ac.id/pustaka/170882/perancangan-data-warehouse-dan-dashboard-dengan-metode-kimball-bagian-sumber-daya-manusia-institut-teknologi-telkom-surabaya.html|journal=e-Proceeding of Engineering|volume=8|issue=5|pages=7474-7488|issn=2355-9365|access-date=2023-08-01|archive-date=2023-08-01|archive-url=https://web.archive.org/web/20230801155446/https://repository.telkomuniversity.ac.id/pustaka/170882/perancangan-data-warehouse-dan-dashboard-dengan-metode-kimball-bagian-sumber-daya-manusia-institut-teknologi-telkom-surabaya.html|dead-url=no}}</ref>
== Karakteristik gudang data ==
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== Pranala luar ==
* {{en}} [http://www.datamgmt.com/index.php?module=article&view=news&MMN_position=3:3 Data Management And Warehousing knowledge base] {{Webarchive|url=https://web.archive.org/web/20220627153204/https://www.datamgmt.com/index.php?module=article&view=news&MMN_position=3:3 |date=2022-06-27 }}
* {{en}} [http://www.gantthead.com/process/processMain.cfm?ID=2-2357-2 Data Warehousing Development Process on gantthead.com] {{Webarchive|url=https://web.archive.org/web/20061018084038/http://www.gantthead.com/process/processMain.cfm?ID=2-2357-2 |date=2006-10-18 }}
* {{en}} [http://infotech.wsu.edu/datawarehouse/ Information Tecnology Data Warehouse] {{Webarchive|url=https://web.archive.org/web/20061208154307/http://infotech.wsu.edu/datawarehouse/ |date=2006-12-08 }}
* {{en}} [http://www.dwinfocenter.org/gotchas.html Data Warehousing Gotchas] {{Webarchive|url=https://web.archive.org/web/20150919171741/http://www.dwinfocenter.org/gotchas.html |date=2015-09-19 }}
* {{en}} [http://dmoz.org/Computers/Software/Databases/Data_Warehousing ODP - Data Warehouse Resources] {{Webarchive|url=https://web.archive.org/web/20070316113822/http://dmoz.org/Computers/Software/Databases/Data_Warehousing/ |date=2007-03-16 }}
* {{en}} [http://dmoz.org/Computers/Software/Databases/Data_Warehousing/Articles/ ODP - Data Warehouse Articles] {{Webarchive|url=https://web.archive.org/web/20061215110340/http://dmoz.org/Computers/Software/Databases/Data_Warehousing/Articles/ |date=2006-12-15 }}
* {{en}} [http://sdn.sap.com SDN - Business Intelligence on the SAP Developer Network] {{Webarchive|url=https://web.archive.org/web/20150829165628/http://sdn.sap.com/ |date=2015-08-29 }}
* {{en}} [https://www.datawerks.com/big-data-solution/ Real Time Data Access and Total Data Integration] {{Webarchive|url=https://web.archive.org/web/20180304054738/https://www.datawerks.com/big-data-solution/ |date=2018-03-04 }}
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