Optimizing Healthcare Big Data Processing with Containerized PySpark and Parallel Computing: A Study on ETL Pipeline Efficiency

ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.net/journal/jdaip
E-mail: [email protected]

Citations

"Optimizing Healthcare Big Data Processing with Containerized PySpark and Parallel Computing: A Study on ETL Pipeline Efficiency"
written by Ehsan Soltanmohammadi, Neset Hikmet,
published by Journal of Data Analysis and Information Processing, Vol.12 No.4, 2024

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