Data Warehouse Design With ETL Method (Extract, Transform, And Load) for Company Information Centre

International Journal of artificial intelligence research

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Field Value
 
Title Data Warehouse Design With ETL Method (Extract, Transform, And Load) for Company Information Centre
 
Creator Fana, Wulan Stau
sovia, rini
Permana, Randi
Islam, Md Ataul
 
Subject Artificial Intelligence, software engginering
Data Warehouse ETL Snowflake scheme, Consultant, OLAP
 
Description Data Warehouse is a technology use to analyze, extract and evaluate data into information which produce knownledge in the form of analysis to provide an advice in decision making process. Designing a Data Warehouse using ETL (Extract, Transformation and Load) process serves as the collection of data from different data sources into a multitude of integrated data sets. By using snowflake scheme for the design of the data warehouse make data prepare well and ready for analyze on Data Warehouse. The result of  this reseach is to applied Data Warehouse that use to support company decision making progress make easier and has a good decision since its come from Data Warehouse
 
Publisher STMIK Dharma Wacana
 
Contributor
 
Date 2021-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Identifier http://ijair.id/index.php/ijair/article/view/215
10.29099/ijair.v5i2.215
 
Source International Journal of Artificial Intelligence Research; Vol 5, No 2 (2021): December
2579-7298
10.29099/ijair.v5i2
 
Language en
 
Rights Copyright (c) 2021 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

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