Data Development

End-to-End Pipeline Design and Scheduling

Enables structured, repeatable data processing for both batch and real-time pipelines.

Core Capabilities

Visual Development Interface

  • Dual-view workflow design (process flow & data flow visualization)
  • Drag-and-drop node configuration for diverse business requirements

Comprehensive ETL Toolkit

  • Multi-source batch data synchronization
  • Rich transformation operators for complex ETL operations
  • Native JSON parsing for semi-structured data handling
  • Spark SQL integration for advanced analytics scenarios

Reliable Scheduling Engine

  • Dual-engine architecture (stable + flexible execution modes)
  • Loop containers for iterative data processing
  • Automated periodic task management

Extended Integration

  • Shell script interoperability for external process integration
  • Custom API connectivity for hybrid workflow designs
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