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

Wulan Stau Fana, Rini Sovia, Randi Permana, Ataul Islam
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引用次数: 4

Abstract

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
基于ETL方法(提取、转换和加载)的公司信息中心数据仓库设计
数据仓库是一种用于分析、提取和评估数据为信息的技术,这些信息以分析的形式产生知识,为决策过程提供建议。使用ETL(提取、转换和加载)流程设计数据仓库,将来自不同数据源的数据收集到大量集成的数据集中。采用雪花方案对数据仓库进行设计,使数据准备充分,便于在数据仓库上进行分析。本研究的结果是应用数据仓库来支持企业决策的进展,因为它来自于数据仓库,所以更容易和更好的决策
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