International Journal on Science and Technology

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

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:- Optimizing ETL Pipelines For High-Velocity Big Data Business Intelligence Applications.

Author(s) Mr. Lucky Laxman Shevaliya
Country India
Abstract The research is about to use ETL pipelines in big data as now days there are applications who are supporting Business in so many ways. So there are lots and huge amount of data ,so to give them the accurate data in less time with the help of ETL, On that this re-search has been conducted.
Keywords data, piplines, big data, applications, re-serach paper, algorithm, dynamic balancing algorithm, workload, Examine, accurate data, process, latency, overloading, less time result,
Field Computer
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-30
DOI https://doi.org/10.71097/IJSAT.v16.i4.9071
Short DOI https://doi.org/g98nck
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