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Data Extraction and Integration for Data Warehouse

Yisheng Dong

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Abstract

The improving of the requirement of data analysis promoted the development of data warehouse. While designing a data warehouse system it is one of the most important work to extract and integrate data from heterogeneous data sources into it. In this paper, based on the research of existing data integrating methods and possible meeting conflicts while data extracting, the design and implementation of the data getting tool in our data warehouse system SEUwarehouse are introduced in detail.

About this research paper

What this paper is about

The improving of the requirement of data analysis promoted the development of data warehouse. While designing a data warehouse system it is one of the most important work to extract and integrate data from heterogeneous data sources into it. In this paper, based on the research of existing data integrating methods and possible meeting conflicts while data extracting, the design and implementation of the data getting tool in our data warehouse system SEUwarehouse are introduced in detail.

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Available abstract

The improving of the requirement of data analysis promoted the development of data warehouse. While designing a data warehouse system it is one of the most important work to extract and integrate data from heterogeneous data sources into it. In this paper, based on the research of existing data integrating methods and possible meeting conflicts while data extracting, the design and implementation of the data getting tool in our data warehouse system SEUwarehouse are introduced in detail.

Key concepts: Data warehouse, Data extraction, Computer science, Data integration, Database, Dimensional modeling, Data mining, Data transformation

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