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Novice Evaluation and Comparative Survey on Database Management System, Data Warehousing and Data Mining

by Mohd Muntjir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 10
Year of Publication: 2016
Authors: Mohd Muntjir
10.5120/ijca2016908613

Mohd Muntjir . Novice Evaluation and Comparative Survey on Database Management System, Data Warehousing and Data Mining. International Journal of Computer Applications. 136, 10 ( February 2016), 39-45. DOI=10.5120/ijca2016908613

@article{ 10.5120/ijca2016908613,
author = { Mohd Muntjir },
title = { Novice Evaluation and Comparative Survey on Database Management System, Data Warehousing and Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 10 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 39-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number10/24193-2016908613/ },
doi = { 10.5120/ijca2016908613 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:45.902330+05:30
%A Mohd Muntjir
%T Novice Evaluation and Comparative Survey on Database Management System, Data Warehousing and Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 10
%P 39-45
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A Data management is the progression and execution of frameworks, approaches, processes and measures in order to control the information lifecycle requires for a business in a creative method. A Database Management System, Data Mining and Data warehouse which intrinsically concentrate on the management and maintenance of data in modern world. Different enterprise services with various methods are available in Database Management System. Henceforth; a database system overcomes with an important role in this real world. In this paper, it is mentioned about the overview of database management system, data mining and data warehousing in DBMS, along with on their modern needs. For management of data extraction a bank end tools are being discussed here. Furthermore, it is emphasized to cleaning and uploading data into a data warehouse system; and front-end client tools for querying; data evaluation server extensions for proceedings the efficiency of queries, several mechanisms for metadata organization and for control the warehouse. This latest summary provides the fundamentals comprehension of different database tools and procedures. We will have a look about the database integration; data security with data segregation and storage.

References
  1. Stack overflow, “Difference between a database and a data warehouse”, http://stackoverflow.com/questions/3419353/what-is-the-difference between -a-database-and-a-data-warehouse
  2. Bcanotes,”DBMS”,http://www.bcanotes.com/Download/DBMS/Rdbms/database.pdf
  3. PrigrannerInterview.com,”What’s the difference between data mining and data warehousing?” http://www.programmerinterview.com/index.php/database-sql/data-mining-vs-warehousing/
  4. Inman, W.H., Data Warehouse. John Wiley, 1992.
  5. Zentut,” Data Mining Architecture”, http://www.zentut.com/data-mining/data-mining-architecture/
  6. M. S. Chen, J. Han, and P. S. Yu. Data mining: An overview from a database perspective
  7. Zentut,”What is Data Mining”, http://www.zentut.com/data-mining/what-is-data-mining/
  8. Navdeep,”Advantages and disadvantages of data mining ”http://navdeep19.blogspot.in/2012/04/advantages-and -disadvantages-of.html
  9. Ramandeep Kaur,Amanpreet Kaur,Sarabjeet Kaur,Amandeep Kaur,Ranbeer Kaur,” An Overview of Database management System, Data warehousing and Data”, International Journal of Advanced Research in Computer and Communication Engineering,2013
Index Terms

Computer Science
Information Sciences

Keywords

DBMS Database Data warehouse Data Mining Data management Architecture

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