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Data pipelines sit in the critical path of every ML project. They're fragile, expensive, and coupled to schemas that break without warning. Databricks Data Intelligence Platform skips that step with data federation — connect to Amazon Redshift and experiment without moving data.

Combine that with built-in MLOps tooling to:

• Query federated sources: Access Amazon Redshift through Unity Catalog without pipelines or duplication
• Apply DevOps to ML: CI/CD and infrastructure-as-code with Databricks MLOps Stacks
• Unify your team: One workspace for data engineers, scientists, and ML engineers

See how federation, MLOps, and workspaces come together on AWS.

Read the technical article ›

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• Tools are designed to plug in to your AWS workflows and integrate with your favorite AWS services
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