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batch-processing

Unified project demonstrating both batch analytics and real-time streaming pipelines with Apache Spark:

Batch (PySpark/Jupyter): Processed S&P 500 stock data, applied transformations, and ran distributed computations.

Streaming (Spark + Kafka): Built a streaming pipeline to consume Kafka topics, process messages in real-time, and visualize outputs.

Deployed using Docker and Jupyter for reproducibility.