SDF is a modern build system for data infrastructure that compiles all data contracts, queries, and policies together to establish dependencies at the code-level, time-level, and access-level.

Highlighted key features and advantages include:

• Scalability: SDF is the first build system for data infrastructure that can handle large-scale operations.
• Local execution: SDF allows for SQL development to be executed locally with intelligent workflows and data governance encapsulated in a compact 60MB Rust-based solution.
• Data governance: SDF facilitates detailed analysis of lineage at the column-level, producing a comprehensive data catalog without requiring extra effort.
• Easy to use: SDF is a robust and user-friendly data development platform that enables organizations of any size to fully utilize their data while adhering to relevant policies and safeguards.
• Cloud-based: SDF deploys its soon-to-be open-source engine in the cloud for seamless workflows, automating deployments and enforcing policies in real-time.

Some use cases for SDF involve various data-related activities:

• Establish dependencies at the code-level, time-level, and access-level for data infrastructure.
• Simplify SQL development by compiling data contracts, queries, and policies simultaneously.
• Generate a comprehensive data catalog with detailed column-level lineage analysis right from the start.
• Empower organizations of any size to maximize their data potential while adhering to relevant policies and safeguards.
• Create automated workflows with real-time policy enforcement.