Spark Declarative Pipelines
A declarative data pipeline framework built on Apache Spark. Developers declare dataset definitions and quality rules, and the framework handles dependency resolution, execution order, incremental refresh and retry on failure.
Timeline (last 90 days)
In production SDP (Spark Declarative Pipelines), more than 70% of pipelines have been written by AI agents.
Spark Declarative Pipelines (SDP) is a declarative paradigm built on top of Spark that delegates dependency resolution, execution order, incremental refresh, and failure retries to the runtime.
All Facts (2)
In production SDP (Spark Declarative Pipelines), more than 70% of pipelines have been written by AI agents.
50%UnverifiedSpark Declarative Pipelines (SDP) is a declarative paradigm built on top of Spark that delegates dependency resolution, execution order, incremental refresh, and failure retries to the runtime.
50%