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divith-aju-Hadoop-Pyspark-pipeline

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This project demonstrates the creation of a scalable data processing pipeline for handling and analyzing log data from a hypothetical e-commerce platform. Leveraging Hadoop and PySpark, the pipeline is designed to process large volumes of log files, providing meaningful insights into user behavior, system performance, and sales metrics.

Creat2024-08-18T00:17:10
Update2025-06-03T16:14:04
https://linktr.ee/divithraju
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