# Data Pipeline

- [Build an Automated Machine Learning Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/build-an-automated-machine-learning-pipeline.md): S3 data is extracted, transformed, and fed into a trained AutoML model for prediction before the output is loaded into a target database.
- [Automate Data Analysis using API, AutoML, & Database Integration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/automate-data-analysis-using-api-automl-and-database-integration.md): To ingest hiring data from an API, prepare and analyze it using AutoML, and store the results in a database for actionable insights and reporting.
- [Real-Time Data Pipeline: API Ingestion to WebSocket Delivery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/real-time-data-pipeline-api-ingestion-to-websocket-delivery.md): To ingest, prepare, and deliver real-time hiring data simultaneously to a database for storage and a WebSocket for live consumption.
- [Kafka-to-ClickHouse Pipeline with Real-Time AutoML Inference](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/kafka-to-clickhouse-pipeline-with-real-time-automl-inference.md): To process hiring data from Kafka, prepare and analyze it using AutoML, and store the results in ClickHouse for insights and easy access.


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