A configurable batch processing framework for automated data processing. Define batch jobs with input sources, transformation pipelines, and output targets.
Browse the actual product documentation and code examples included in this toolkit.
Key features of Batch Processor
• Configurable batch job definitions in JSON/YAML • Input sources: files, databases, APIs • Transformation pipeline with filter/map/reduce stages • Output targets: files, databases, cloud storage • Execution logging with success/failure tracking • Parallel batch processing with worker pool
Configurable batch job definitions in JSON/YAML
Input sources: files, databases, APIs
Transformation pipeline with filter/map/reduce stages
Output targets: files, databases, cloud storage
Execution logging with success/failure tracking
Parallel batch processing with worker pool
Configure Batch Processor parameters to see how the product works.