ETLis a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.) and finally loads the data into the Data Warehouse system. Full form of ETL is Extract, Transform and Load. It’s tempting to think a creating a ...
Data extraction plays a major role in designing a successful DW system. Different source systems may have different characteristics of data, and the ETL process will manage these differences effectively while extracting the data. “Logical data map” is a base document for data extraction. This sho...
Tabu Search (TS) is used for clustering the relevant data as a group. Clustering means the segregation of relevant data accurately from the data warehouse. The cluster size in the ETL process can be optimized by the proposed work of (GWO-TS). Therefore, the huge data in the warehouse can...
Data warehouse process management Previous research has provided metadata models that enable the capturing of the static components of a data warehouse architecture, along with information ... P Vassiliadis,Chrstoph Quix,Y Vassiliou - 《Information Systems》 被引量: 158发表: 2001年 Efficient Resumpti...
Query Optimizer for the ETL Process in Data Warehouses In today's fast-changing, competitive environment, a complaint frequently heard by data warehouse users is that access to time-critical data is too slow. S... B Pandya,SM Shah 被引量: 1发表: 2015年 Real-Time Snapshot Maintenance with...
ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It's often used to build a data warehouse. During this process, data is taken (extracted) from a source system, converted (transformed) into a format tha...
The ETL process is not a one-time event. As data sources change, the data warehouse will periodically updated. Also, as business changes the DW system needs to change – in order to maintain its value as a tool for decision makers, as a result of that the ETL also changes and evolves...
ETL processing in data warehouse project谈数据仓库建设中的ETL过程 张云 Keywords: 商业智能,数据仓库,元数据,ETL Full-Text Cite this paper Add to My Lib Abstract: 本文介绍了数据仓库建设中的ETL过程,包括ETL的概念、目标以及如何正确实施ETL以保证数据仓库成功。 Full-Text Contact Us service@oalib....
existing ETL process,it has proposed a framework for optimizing the overall process—EICLF(Extracting/Integrating/Cleaning/Loading/Feedback) processes;secondly,improved the recognition algorithm of the existing approximately duplicate records;thirdly,feedback on the source data according to cleaned-up data...
2. 数据仓库(Data Warehouse) 数据仓库是用于存储和管理数据的中央数据库,具有以下特性: 面向主题:按主题(如财务、销售、订单)组织数据。 集成性:从多个业务系统中提取数据并整合。 稳定性:数据一旦进入数据仓库,通常不会随意修改。 时间性:支持历史数据分析,用于计算同比和环比。