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Reseach Article

From Data Management to Data Engineering

by Nnebedum, V. I, Kamalu, A. U, Dike, J. N
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 11
Year of Publication: 2013
Authors: Nnebedum, V. I, Kamalu, A. U, Dike, J. N
10.5120/14059-2300

Nnebedum, V. I, Kamalu, A. U, Dike, J. N . From Data Management to Data Engineering. International Journal of Computer Applications. 81, 11 ( November 2013), 36-39. DOI=10.5120/14059-2300

@article{ 10.5120/14059-2300,
author = { Nnebedum, V. I, Kamalu, A. U, Dike, J. N },
title = { From Data Management to Data Engineering },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 11 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number11/14059-2300/ },
doi = { 10.5120/14059-2300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:49.903849+05:30
%A Nnebedum
%A V. I
%A Kamalu
%A A. U
%A Dike
%A J. N
%T From Data Management to Data Engineering
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 11
%P 36-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

No doubt, data management is very important in the development and execution of plans and programs that control and enhance the value of data, but most recently, engineers and allied professionals are beginning to play bigger role stabilizing and utilizing data management skills in developing a new field of study in data science called data engineering. This paper is a tutorial presentation on data management and data engineering, focusing more on the critical issues that are relevant to both studies but justifying the recent paradigm move towards data engineering.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Management Data Engineering Data analysis Data pipelines Productionalized algorithms Data platform.