A Framework for Data Quality in Data Warehousing

2009 ◽  
pp. 292-297 ◽  
Author(s):  
Rao R. Nemani ◽  
Ramesh Konda
Keyword(s):  
Data Quality ◽  
Data Warehousing

scholarly journals BST Algorithm for Duplicate Elimination in Data Warehouse

2013 ◽  
Vol 4 (1) ◽  
pp. 190-197
Author(s):  
Payal Pahwa ◽  
Rashmi Chhabra
Keyword(s):  
Data Quality ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Data Cleaning ◽  
Emerging Technology ◽  
Quality Data ◽  
Business Organization ◽  
Data Cleansing ◽  
Business Decisions ◽  
Related Data

Data warehousing is an emerging technology and has proved to be very important for an organization. Today every  business organization needs accurate and large amount of information to make proper decisions. For taking the business  decisions the data should be of good quality. To improve the data quality data cleansing is needed. Data cleansing is fundamental to warehouse data reliability, and to data warehousing success. There are various methods for datacleansing. This paper addresses issues related data cleaning. We focus on the detection of duplicate records. Also anefficient algorithm for data cleaning is proposed. A review of data cleansing methods and comparison between them is presented.

scholarly journals Data Quality Tools for Data Warehousing: Enterprise Case Study

2013 ◽  
Vol 62 (10) ◽  
pp. 22-24
Author(s):  
Muheet AhmedButt ◽  
Majid Zaman
Keyword(s):  
Data Quality ◽  
Data Warehousing ◽  
Quality Tools

scholarly journals Data Quality Tools for Data Warehousing: Enterprise Case Study

2013 ◽  
Vol 3 (01) ◽  
pp. 75-76
Author(s):  
Er. Muheet Ahmed Butt
Keyword(s):  
Data Quality ◽  
Data Warehousing ◽  
Quality Tools
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