divith-aju-Hadoop-Pyspark-pipeline

Public

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.

apache-hadoop-framework apache-spark bigdata client data database dataengineering dataingestionframework datapreprocessing documentation

Creat：2024-08-18T00:17:10

Update：2025-06-03T16:14:04

https://linktr.ee/divithraju

Stars

Stars Increase

Related projects

N8n

Hot

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

128483

4年前

+732today

Django

apps

The Web framework for perfectionists with deadlines.

84542

4个月前

+33today

Gin

framework

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

83517

4个月前

+46today