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aymane-maghouti / Real-Time-Streaming-Kafka-Debezium-Spark-Streaming

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This project demonstrates real-time data streaming and processing architecture using Kafka, Spark Streaming, and Debezium for capturing CDC (Change Data Capture) events. The pipeline collects transaction data, processes it in real time, and updates a dashboard to display real-time analytics for smartphone data.

notifications python java docker web-development kafka spring-boot dashboard reactjs spark-streaming data-analytics mysql-database postgresql-database data-processing change-data-capture debezium real-time-systems real-time-data-pipeline
  • Updated Oct 24, 2024
  • Java

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