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Type: SQL

SDF is a scalable build system for data infrastructure that compiles data contracts, queries, and policies to create code-level, time-level, and access-level dependencies. It offers intelligent workflows, intuitive authoring, instant deployment, and integrated governance for efficient and compliant data management.

📊 Use Cases

  • Data Infrastructure: SDF serves as a scalable build system for data infrastructure, similar to Cargo for Rust or Node for JavaScript.
  • Query Compilation: SDF compiles data contracts, queries, and policies to create code-level, time-level, and access-level dependencies.
  • Intelligent Workflows: SDF includes an integrated scheduler that automates DAG (Directed Acyclic Graph) creation, eliminating the need to worry about backfills.
  • Intuitive Authoring: SDF enables 10 times faster development with lightning-fast local execution, data workspaces for testing, and clear error messages.
  • Instant Deployment: SDF simplifies deployment by allowing warehouses to be deployed with a single command and providing monitoring capabilities through the console.
  • Integrated Governance: SDF ensures compliance by offering label propagation, data policies, and native enforcement within the engine.

💡 Features

  • Scalable Build System: SDF functions as a scalable build system for data infrastructure.
  • Query Compilation: SDF compiles data contracts, queries, and policies to establish various dependencies.
  • Intelligent Workflow Automation: SDF’s integrated scheduler automates DAG creation, eliminating backfill concerns.
  • Intuitive Authoring Environment: SDF provides lightning-fast local execution, data workspaces, and clear error messages for efficient development.
  • Instant Deployment: SDF simplifies deployment with a single command and offers monitoring capabilities through the console.
  • Compliance and Governance: SDF ensures compliance through label propagation, data policies, and native enforcement within the engine.

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