Streamify
- Tech Stack: docker, airflow, kafka, apache-spark, terraform, dbt
- Website URL: Link
- Github URL: Project Link
The project will stream events generated from a fake music streaming service (like Spotify) and create a data pipeline that consumes the real-time data. The data coming in would be similar to an event of a user listening to a song, navigating on the website, authenticating. The data would be processed in real-time and stored to the data lake periodically (every two minutes). The hourly batch job will then consume this data, apply transformations, and create the desired tables for our dashboard to generate analytics. We will try to analyze metrics like popular songs, active users, user demographics etc.