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Real-Time Transaction Pipeline

This repository demonstrates a small real-time analytics workflow using Kafka, Spark, and ClickHouse. Transactions are produced, aggregated, and stored using Docker Compose services.

For detailed setup and usage instructions, see docs/wiki.md. And for architectural schematic, see docs/architectural_schematic.png

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A real-time data pipeline with Kafka, Spark Structured Streaming and ClickHouse in Docker Compose

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