Many business and IT managers face the same problem: the data that serves as the foundation for their business applications inconsistent,inaccurate,and unreliable. Data profiling is the solution to this problem and, as such, is a fundamental step that should begin every data-driven initiative.In this paper we have implemented the technique of data profiling such as Column Analysis,Frequency Analysis, Null Rule Analysis,Constant Analysis, Empty Column Analysis and Unique Analysis.
%0 Journal Article
%1 Sarkate_2015
%A Sarkate, Shruti
%A Tare, Kaveri
%A Kamble, Ruchi
%A Gawai, Narendra
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Data Profiling
%N 4
%P 2292--2297
%R 10.17762/ijritcc2321-8169.1504113
%T Data Doctor An Efficient Data Profiling and Quality Improvement Tool
%U http://dx.doi.org/10.17762/ijritcc2321-8169.1504113
%V 3
%X Many business and IT managers face the same problem: the data that serves as the foundation for their business applications inconsistent,inaccurate,and unreliable. Data profiling is the solution to this problem and, as such, is a fundamental step that should begin every data-driven initiative.In this paper we have implemented the technique of data profiling such as Column Analysis,Frequency Analysis, Null Rule Analysis,Constant Analysis, Empty Column Analysis and Unique Analysis.
@article{Sarkate_2015,
abstract = {Many business and IT managers face the same problem: the data that serves as the foundation for their business applications inconsistent,inaccurate,and unreliable. Data profiling is the solution to this problem and, as such, is a fundamental step that should begin every data-driven initiative.In this paper we have implemented the technique of data profiling such as Column Analysis,Frequency Analysis, Null Rule Analysis,Constant Analysis, Empty Column Analysis and Unique Analysis.},
added-at = {2015-08-27T08:21:32.000+0200},
author = {Sarkate, Shruti and Tare, Kaveri and Kamble, Ruchi and Gawai, Narendra},
biburl = {https://www.bibsonomy.org/bibtex/2594bb3f38d992eaebdd41b0c2631c9ea/ijritcc},
doi = {10.17762/ijritcc2321-8169.1504113},
interhash = {9ccd04d9da7761fbcad5a0c09ffffccc},
intrahash = {594bb3f38d992eaebdd41b0c2631c9ea},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Data Profiling},
month = {april},
number = 4,
pages = {2292--2297},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-27T08:21:32.000+0200},
title = {Data Doctor An Efficient Data Profiling and Quality Improvement Tool},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1504113},
volume = 3,
year = 2015
}