Welcome to StreamlineDE, an end-to-end data engineering project designed to demonstrate real-time data ingestion, processing, and storage using a modern data engineering stack. This project showcases seamless integration of tools like Apache Airflow, Kafka, Spark, and Cassandra, all containerized with Docker for easy deployment.
StreamlineDE is your one-stop solution for building a scalable, end-to-end data engineering pipeline that streams, processes, and stores data in real time. Containerized with Docker, its easy to deploy and scale across environments!
StreamlineDE is a hands-on project aimed at demonstrating real-time data streaming and processing using state-of-the-art tools like Apache Kafka, Apache Spark, Apache Airflow, and Cassandra. Learn how to orchestrate a complex pipeline, process streaming data, and store the processed information in distributed databases. Best of all, its all containerized for effortless deployment!
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API simulates real-world, continuous data flow.To get started with StreamlineDE, follow these steps:
Ensure you have the following installed:
git clone https://github.com/badhanhitesh/StreamlineDE.git
cd StreamlineDE
docker-compose up