Sreemathy J, Infant Joseph V, N. S, C. I, Gokula Rm
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引用次数: 18
摘要
数据集成是将来自不同来源的数据组合起来以支持组织中的数据分析的过程。IBM给出了数据集成的最佳定义:“数据集成是技术流程和业务流程的组合,用于将来自不同来源的数据组合为有价值且有意义的信息。”这里的重要术语是“将数据组合成有价值和有意义的数据”,它是关于使数据更有组织和有用。有多种方法可以将数据组合到集成视图中。本文描述了使用ETL过程(提取、转换和加载过程)集成来自不同来源的数据所涉及的各个步骤,Talend Open Studio作为数据集成和ETL工具如何帮助将异构数据转换为同类数据以方便分析,以及如何将所有集成的数据存储在数据仓库中,为商业智能用户提供适合的数据以方便分析。
Data Integration is the process of combining data from different sources to support Data Analytics in organizations. The best definition of data integration is given by IBM, stating “Data Integration is the combination of technical processes and business processes used to combine data from disparate sources into valuable and meaningful information.” The important terms here are “combine data… into valuable and meaningful data” where it's about making the data more organized and useful. There are various methods of combining data into an integrated view. This paper describes the various steps involved in integrating data from various sources using the ETL process - The Extract, Transform and Load process, how the Talend Open Studio acting as a Data Integration and ETL tool helps in transforming heterogeneous data into homogeneous data for easy analysis and how all the integrated data is stored in a Data Warehouse to provide Business Intelligence users with suitable data for easy analysis.