Proceeding of

Proceeding of

National Conference

on

Recent Trends in

Data Science and

Big Data Networking

(NCRDBN-2015)

18-19 December, 2015

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

Chief Patron

Shri Banwarilal Purohit 

Chairman,RCOEM

 

Shri Govindlal Agarwal

General Secretary, RCOEM

 

Patron

 

  

Dr. R.S. Pande

Principal,RCOEM

 

Conveners

Dr. M. B. Chandak

(Head, Dept. of CSE)

 

Co-convener

Dr. A. J. Agrawal

 

Organizing Committee

Prof. S. G. Mundhada

Prof. A. Zadgaonkar

Prof. S.S. Aote

Prof. D. A. Borikar

Prof. A. R. Raipurkar

Organized by

Dept of Computer Science & Engineering,

Shri Ramdeobaba College of Engineering and Management, Nagpur – 440013.

Website: www.rknec.edu

 

In association with

Department of Science & Technology

 

 

Editor

K. H. Walse

M.S.India

 

 

 

   
   
   
   
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:
Database Agnostic ETL Tool: An Economical Solution to Store and Process Data
Author:
Sumedha Sirsikar, Apoorva Jain, Dixha Raina, Ritu Munot and Warun Nimbhorkar
 

Abstract

People in society are producing data in an explosive manner. Various organizations use this data for decision support and to construct data-intensive products and services. A purpose of network management tool is to manage network devices within the data centers of an enterprise that is spread across the globe. Any organization’s Decision Support Network Automation is the Business Intelligence (BI) system built for advance and custom reporting on the stored data by performing Extract, Transform and Load (ETL) operations using On-line Transaction Processing (OLTP) Database. Similarly ETL tool is a process in database usage and especially in data warehousing.  This extracts data from homogeneous or heterogeneous data sources, transforms the data for storing it in proper format or structure for querying and analysis purpose and finally loads it into the final target (database, more specifically, operational data store, data mart, or data warehouse). In this tool usually all the three phases execute in parallel as the data extraction process requires time. This paper provides an advance solution to existing database tools.


©2016 International Journal of Computer Science and Applications 

Published by Research Publications, India