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This repo contains implementations of PySpark for real-world use cases for batch data processing, streaming data processing sourced from Kafka, sockets, etc., spark optimizations, business specific bigdata processing scenario solutions, and machine learning use cases.
Repository for practicing data manipulation and transformation using PySpark. Contains sample scripts for data pipelining, showcasing various techniques and best practices for handling and processing large datasets efficiently.