Design and realization of an ETL method in business intelligence project

Bin Pan · Guomin Zhang · Xuepei Qin

27 citations0/0 files storedInternational Conference on Cloud Computing and Big Data Analytics (ICCCBDA)

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

Abstract

Extract, Transform, Load (ETL) plays an important role in Business Intelligence (BI) project. Traditional ETL method is inflexible and inefficient when it is used for complex and changeable data transmission. Hence, it is necessary to improve the efficiency of ETL method. In this paper, a new ETL method based on Extract, Clean, Load, Transform and Load (ECL-TL) framework is designed and implemented. The ETL method in appraisal system is also discussed. The application shows that the ECL-TL method improves the efficiency and flexibility of the system.

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References

1997An overview of data warehousing and OLAP technology 2000Data Cleaning: Problems and Current Approaches.1999The impact of data quality information on decision making: an exploratory analysis 2011A proposed model for data warehouse ETL processes 2010Incremental Load in a Data Warehousing Environment

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2020Progressive Growth of ETL Tools: A Literature Review of Past to Equip Future

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