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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 112
Article Submitted : 17346
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Total Authors : 20065
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| Paper Title: | ETL vs ELT: Choosing the right approach for your data warehouse |
| Authors Name: | Dhamotharan Seenivasan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_190148
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| Published Paper Id: | IJRTI2202018 |
| Published In: | Volume 7 Issue 2, February-2022 |
| DOI: | |
| 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. |
| Keywords: | ETL, ELT, Data Warehouse, Data Integration, Business Intelligence, Data Transformation, Big Data. |
| Cite Article: | "ETL vs ELT: Choosing the right approach for your data warehouse", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 2, page no.110 - 122, February-2022, Available :http://www.ijrti.org/papers/IJRTI2202018.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2202018
Registration ID:190148
Published In: Volume 7 Issue 2, February-2022
DOI (Digital Object Identifier):
Page No: 110 - 122 Country: -, -, United States Research Area: Other Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2202018 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2202018 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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