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  1. AWS-Big-Data-Pipeline-orchestrated-with-Airflow AWS-Big-Data-Pipeline-orchestrated-with-Airflow Public

    A robust data pipeline leveraging Amazon EMR and PySpark, orchestrated seamlessly with Apache Airflow for efficient batch processing

    Python 1

  2. AWS-EMR-based-Recommendation-Engine-Pipeline AWS-EMR-based-Recommendation-Engine-Pipeline Public

    Build and deploy a scalable Recommendation Engine leveraging AWS EMR, enabling efficient processing and analysis for personalized recommendations in large datasets.

    Python 1

  3. HealthSynergy-Hospital-Data-Visualization HealthSynergy-Hospital-Data-Visualization Public

    Data Visualization of a Healthcare Administration Dataset

    Python 1

  4. Large-Language-Models-for-Medical-Data-Extraction Large-Language-Models-for-Medical-Data-Extraction Public

    Using LLMS to extract medical Data for Doctors and Hospitals

    Python 1

  5. Realtime-Stock-Analysis-using-Kafka-and-AWS Realtime-Stock-Analysis-using-Kafka-and-AWS Public

    Forked from amalprem/Realtime-Stock-Analysis-using-Kafka-and-AWS

    Jupyter Notebook

  6. RealTime-Streaming-Data-Pipeline-with-Kafka-and-GCP RealTime-Streaming-Data-Pipeline-with-Kafka-and-GCP Public

    A comprehensive implementation of a real-time streaming data pipeline using Apache Kafka and Google Cloud Platform (GCP) for efficient data ingestion, processing, and analysis.

    1