Research on Extract, Transform and Load(ETL) in Land and Resources Star Schema Data Warehouse

Xianzhen Jin · Zhang Xianrong

17 citations0/0 files storedInternational Symposium on Computational Intelligence and Design

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Big Data and Business Intelligence Advanced Database Systems and Queries Data Quality and Management

Abstract

The extract, transform and Load (ETL) tool is extracting data from multiple, heterogeneous data source, transforming data, and finally loading data into the data warehouse. It is the foundation of any data warehouse, data mining and business intelligence. The land and resources system usually adopts star schema database, so it is difficult to transform the data from source database to target warehouse. This paper research the key technologies of ETL, including data extracting,data transforming, data incremental loading and break-points transmission.

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1996The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling 2004The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data 2002Conceptual modeling for ETL processes 2005Mapping conceptual to logical models for ETL processes

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