DataStage Parallel Engine

When to Use DataStage

• Batch ETL processing of large data volumes
• Parallel processing across multiple nodes
• Complex transformations with high throughput requirements
• Integration with enterprise databases and file systems
• Data warehouse loading and CDC operations

Engine Characteristics

• Parallel processing: Divides data into partitions processed simultaneously
• Pipeline parallelism: Multiple stages process different data concurrently
• Scalable: Add nodes to increase throughput
• High performance: Optimized for large-scale data movement