di-agent-knowledge-engine-datastage

What problem does it solve?

This Skill gives DataStage practitioners a fast reference for understanding the parallel engine, interpreting stage behavior, and choosing the right optimization approach without digging through scattered documentation.

Core Features & Use Cases

• Parallel engine concepts: partitions, nodes, partitioning methods, sorting, and pipeline parallelism.
• Operational guidance: concurrent job execution, restart and recovery, configuration file management, disk and resource tuning, and memory awareness.
• Stage reference lookup: Transformer functions and stage semantics for common stages such as Join, Lookup, Sort, Aggregator, Data Set, and Change Capture.
• Example use case: when a flow is slow or unstable, use this Skill to determine whether the fix is repartitioning, re-sorting, using Data Sets, changing resource pools, or adjusting restart points.

Quick Start

Ask for the DataStage guidance you need, such as how to partition a job, choose a stage, or troubleshoot a performance issue in a specific flow.