This tutorial guides through implementing a real-time data ingestion pipeline for machine learning systems using FastAPI and Apache Spark. Key steps include writing a FastAPI collector application, downloading and pushing data from the internet to this application, and processing the data via a Spark ETL pipeline managed by Airflow, all deployed on the Nebius AI Cloud platform. The tutorial emphasizes ensuring data quality and integrity at each stage and showcases setting up Kubernetes clusters for high availability and managed data operations.
Table of contents
Lets go build.Defining the Collector architecture.Implementing the Collector Application.Implementing the Producer Applications.Implementing Spark ETL.Sort: