Pyspark Data Ingestion

PySpark Data Ingestion in AION enables high-throughput ingestion of large-scale datasets (up to 1.5–2 GB) into the system. It supports diverse data sources such as HDFS, ClickHouse, Kafka, and relational databases. By leveraging Apache Spark’s distributed architecture, it efficiently streams, uploads, or deletes data across compute nodes, laying the foundation for scalable training and inference. This ingestion layer is optimized for big data AI workflows and ensures seamless integration with downstream processes.