ISSN2456-3315
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ESTD2016
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Paper Title
ETL vs ELT: Choosing the right approach for your data warehouse
Authors
Dhamotharan Seenivasan
Keywords
ETL, ELT, Data Warehouse, Data Integration, Business Intelligence, Data Transformation, Big Data.
Abstract
Data warehousing is, critical in today’s data management and business intelligence solutions. ETL and ELT are, for the most part, the two primary structures of data loading. This paper seeks to find out the basic ETL and ELT differences by comparing the architectural, operational, and performance features. It offers a comprehensive comparison of their key benefits; for instance, ETL’s capacity in pre-cleaning data before loading into the warehouse for homogeneity of data and ELT’s capability of exploiting the frameworks of distributed computation for efficient analysis of big data. Further, the article looks into the drawbacks, including ETL’s tendency to be slowed down by preprocessing costs and ELT’s challenge of handling raw data in the warehouse. Altogether, the article provides information on the literature review and real-world cases and presents qualitative recommendations on approach selection based on the business requirements and needs, such as data volume, difficulty of the transformation, and compliance with the standards and regulations. The discussion is carried forward to future directions considering trends in data integration where it is suggested that there are reasons for being prepared to adapt specific improvements that can help in achieving better adaptability required in the dynamic environment of the business place when it comes to data warehousing.
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IJRTI — journal style
"ETL vs ELT: Choosing the right approach for your data warehouse", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 2, page no.110 - 122, February-2022, Available :https://ijrti.org/papers/IJRTI2202018.pdf
APA — 7th edition
Seenivasan, D. (2022). ETL vs ELT: Choosing the right approach for your data warehouse. International Journal for Research Trends and Innovation, 7(2), 110 - 122. https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018
MLA — 9th edition
Seenivasan, Dhamotharan. "ETL vs ELT: Choosing the right approach for your data warehouse." International Journal for Research Trends and Innovation, vol. 7, no. 2, 2022, pp. 110 - 122, https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018.
Chicago — 17th, bibliography
Seenivasan, Dhamotharan. "ETL vs ELT: Choosing the right approach for your data warehouse." International Journal for Research Trends and Innovation 7, no. 2 (2022): 110 - 122. https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018.
Harvard — author–date
Seenivasan, D. (2022) 'ETL vs ELT: Choosing the right approach for your data warehouse', International Journal for Research Trends and Innovation, 7(2), pp. 110 - 122. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018
IEEE — numbered reference
D. Seenivasan, "ETL vs ELT: Choosing the right approach for your data warehouse," IJRTI, vol. 7, no. 2, pp. 110 - 122, Feb. 2022.
Vancouver — biomedical
Seenivasan D. ETL vs ELT: Choosing the right approach for your data warehouse. IJRTI. 2022 Feb;7(2):110 - 122.
AMA — 11th edition
Seenivasan D. ETL vs ELT: Choosing the right approach for your data warehouse. IJRTI. 2022;7(2):110 - 122. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2202018,
author = {Dhamotharan Seenivasan},
title = {ETL vs ELT: Choosing the right approach for your data warehouse},
journal = {International Journal for Research Trends and Innovation},
volume = {7},
number = {2},
pages = {110 - 122},
year = {2022},
month = {February},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Seenivasan, Dhamotharan
TI - ETL vs ELT: Choosing the right approach for your data warehouse
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 7
IS - 2
PY - 2022
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018
SP - 110
EP - 122
ER -
Issue
Volume 7 Issue 2,
February-2022
Pages : 110 - 122
Other Publication Details
Paper Reg. ID
IJRTI_190148
Published Paper ID
IJRTI2202018
Downloads
205,805
Research Area
Other
Country
-, -, United States
Published
February 2022
Published Paper PDF
https://ijrti.org/papers/IJRTI2202018.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2202018
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
