Data Quality Issues and Current Approaches to Data Cleaning Process In Data Warehousing
Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 10
Abstract
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.
Authors and Affiliations
Jaya Bajpai, Pravin S. Metkewar
Innovation in Construction Technology
The innovations originated in more than 20 countries, and cover all facets of construction, including design, fabrication, construction, rehabilitation, labor, management, equipment, and materials. From simple tools to c...
Seismic Control of Highway Bridges using Fuzzy Logic Control
Investigation of past years shows seismic pounding between successive bridge segment which is usually only of a few centimeters resulting significant structural damage. The aim of this paper is to investigate the possibi...
Oxidative Stress and the Periodontium
This review is intended to provide a critical, up-to-date summary of the field, with particular emphasis on its implications for the application of "anti-oxidant therapy" in periodontal disease. We have reviewed the mech...
Urban Trip Rate Modeling for The Recently Expanded Areas: A Case Study of Surat
The rapid urbanization in our metropolitan cities has resulted in simultaneous expansion of cities in spatial dimension. The impact is also on the city infrastructure required for various sectors including transportation...
Privacy in Online Social Networks: A Survey
Knowledge and Data Engineering is the entire process of applying computer-based methodology, including new techniques for knowledge discovery, from data. It refers to the discovery of new information in terms of patterns...