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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