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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
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IJCSA ISSN: 0974-1011 (Online)
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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 |
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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 |
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