Data Quality Issues and Current Approaches to Data Cleaning Process In Data Warehousing

In this paper we have discussed the problems of data quality which are addressed during data cleaning phase. Data cleaning is one of the important processes during ETL. Data cleaning is especially required when integrating heterogeneous data sources. This problem should be addresses together with schema related data transformation. At the end we have also discussed the Current tool which supports data cleaning. Citation:Jaya Bajpai, Symbiosis Institute of Computer Studies and Research,Pune; Dr Pravin Metkewar ,Symbiosis Institute of Computer Studies and Research. "Data Quality Issues and Current Approaches to Data Cleaning Process In Data Warehousing." Global Research and Development Journal For Engineering 110 2016: 14 - 18.