# Data Platforms & Pipelines

- [Data Platforms Overview](https://docs.fiddler.ai/integrations/data-platforms-and-pipelines/data-platforms.md): Connect Fiddler to data warehouses, streaming platforms, and ML pipelines
- [Snowflake](https://docs.fiddler.ai/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](https://docs.fiddler.ai/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](https://docs.fiddler.ai/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](https://docs.fiddler.ai/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](https://docs.fiddler.ai/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](https://docs.fiddler.ai/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.


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