International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 2
April-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Applying a Hybrid ETL Framework in Data Integration

Author(s) Sriram Jasti, Deepthi Ravi
Country United States
Abstract Standard ETL may no longer be enough. Organizations are working with a complex IT environment that includes both cloud and on-rich components. The hybrid ETL solution is an exciting solution that would have revealed the flexibility as well as the scalability quality of the cloud and the advantage offered by a reliable on-premises cloud vendor to control sensitive information. To examine how the hybrid ETL may work as a conceptual model and introduce the entire scheme of a hybrid ETL together with the variations to that of the standard ETL, this report will textually explain what hybrid ETL is based on and what differences there are between the architecture of hybrid ETL and that of standard ETL. Numerous architectures and design concepts of hybrid ETL that can yield optimal data pipelines are discussed. Most of the advantages, like speed, savings and analytics, are elaborate. Some of the challenges of complexity, data governance/data security that are discussed within the framework of this report, offer a strategic path to implement, both discovery-to-deployment and otherwise. The future trend implications toward hybrid ETL, addressed on AI, and the entry of real-time data processing are the other areas explored in the report.
Keywords Hybrid ETL, Data Integration, Cloud Computing, On-Premises, Data Architecture, Big Data, Data Governance, ETL Framework, Data Pipeline, Scalability, ELT, Data Modernization.
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-06
DOI https://doi.org/10.71097/IJSAT.v16.i2.10423
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org