# Data Platforms & Pipelines

- [Data Platforms Overview](/integrations/data-platforms-and-pipelines/data-platforms.md): Connect Fiddler to data warehouses, streaming platforms, and ML pipelines
- [Snowflake](/integrations/data-platforms-and-pipelines/data-platforms/snowflake-integration.md): Learn how to extract baseline or production data from Snowflake for model onboarding and publishing production data to Fiddler for ML and LLM monitoring.
- [BigQuery](/integrations/data-platforms-and-pipelines/data-platforms/bigquery-integration.md): Discover BigQuery integration with Fiddler. Learn how to load ML data from BigQuery tables and use it for tasks like publishing production data to Fiddler.
- [Apache Kafka](/integrations/data-platforms-and-pipelines/data-platforms/kafka-integration.md): Dive into Fiddler’s Kafka connector services. Learn about prerequisites, installation, and limitations to manage production events and publish them to Fiddler.
- [Amazon S3](/integrations/data-platforms-and-pipelines/data-platforms/integration-with-s3.md): Effortlessly extract AWS S3 data for model onboarding and inference publishing to Fiddler for monitoring.
- [Apache Airflow](/integrations/data-platforms-and-pipelines/data-platforms/airflow-integration.md): Discover how to integrate Fiddler with an Airflow DAG for your ML pipeline, enabling you to train, manage, onboard models, and monitor performance seamlessly.
- [SageMaker Pipelines](/integrations/data-platforms-and-pipelines/data-platforms/sagemaker-integration.md): Learn how integrating SageMaker with Fiddler simplifies model monitoring. Explore our guide on using AWS Lambda with the Fiddler Python client.