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The Tickit Data Lake project demonstrates the construction\nof a scalable and robust data pipeline, leveraging the power of Apache Airflow for orchestration\nand automation. This project provides a practical example of building a modern data pipeline capable of \nhandling the extraction, loading, and transformation (ELT) of batch data, specifically designed to support\nthe analytical needs of a business. \n\n## Key Features and Technologies:\n\n- Automated Orchestration:  Airflow is the core orchestration engine, responsible for scheduling, monitoring,\nand managing the entire data pipeline.  It defines the workflow as a Directed Acyclic Graph (DAG), ensuring\ndependencies between tasks are correctly handled.  Airflow's robust features enable task retries, logging,\nand alerting, ensuring pipeline reliability. \n\n- Integration of Multiple Data Sources: The project seamlessly integrates with various data sources including:\n1. On-premises SQL and NoSQL databases\n2. Cloud-hosted SQL and NoSQL databases\n\n## Value\nThis project serves as a valuable example of building a modern data pipelines using Airflow, showcasing best\npractices for data ingestion, processing, and transformation.  It provides a solid foundation for building a \nrobust data platform to support a wide range of analytical needs.\n\n## Project Setup\n- Clone the repository.\n   ```bash\n   git clone https://github.com/jibbs1703/Tickit-Data-Pipeline\n   cd Tickit-Data-Pipeline\n   ```\n   ```bash\n   # Build Tickit Test Container \n   docker build -t test-tickit .\n   ```\n\n   ```bash\n   # Run Tickit Test Container\n   docker run -it --name tickit-test-container -v .:/app test-tickit\n   ```\n\n   ```bash\n   # Clenup Tickit Test Container\n   docker stop tickit-test-container\n   docker rm tickit-test-container\n   ```\n   ```bash\n   # Cleanup all containers\n   docker rm $(docker ps -a -q)\n   ```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjibbs1703%2Ftickit-data-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjibbs1703%2Ftickit-data-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjibbs1703%2Ftickit-data-pipeline/lists"}