realtime-cinema-data-engineering-pipeline

To build a real-time data pipeline, you use Kafka for event streaming and Airflow for ELT orchestration, moving data into PostgreSQL. This Skill configures those components to handle high-volume event streams and transform raw data into actionable insights.

The best way to visualize real-time analytics from PostgreSQL is by using Streamlit for live dashboard rendering. This Skill connects Streamlit directly to your data warehouse, allowing you to visualize streaming analytics for immediate decision-making.

Yes, you need Docker and Python to set up this Kafka streaming pipeline. The infrastructure setup requires Docker for container management and Python to execute the data engineering scripts that integrate Kafka, Airflow, and PostgreSQL.

Medallion architecture for real-time event streaming organizes data into Bronze, Silver, and Gold layers. This Skill implements this structure to progressively refine raw streaming data into enriched, analytics-ready datasets within the PostgreSQL data warehouse.

Yes, you can use Apache Airflow to orchestrate ELT processes for high-volume event streams. This Skill leverages Airflow to automate the extraction and loading workflows, ensuring continuous data flow from Kafka into the PostgreSQL data warehouse.