During execution, the script parses the DSL, builds a , and applies it to each data row. Violations are written to the ErrorQueue with the rule ID, enabling downstream analysts to trace root causes.
| Symbol | Meaning | Example | |--------|---------|---------| | → (green) | Success | DataFlowTask → ExecuteSQLTask | | → (red) | Failure | DataFlowTask → SendMailTask (OnFailure) | | → (yellow) | Completion (regardless) | DataFlowTask → ArchiveFileTask (OnCompletion) | | Expression | Custom Boolean | @[User::RowsLoaded] > 0 | SSIS-927
| Metric (Baseline) | Metric (Post‑SSIS‑927) | Δ | |---|---|---| | | 6 h 15 m | 10 h → 3 h 45 m (≈ 40 % faster) | | Data Quality Defects | 2.3 % of rows flagged | 0.4 % (after rule‑engine refinement) | | Manual Intervention | 8 h per week | 1 h per week (mostly for manifest updates) | | Audit Trail Completeness | Partial, ad‑hoc logs | 100 % row‑level lineage captured | | SLA Compliance | 78 % on‑time | 96 % on‑time (target 95 %) | During execution, the script parses the DSL, builds
: Use search engines to look up "SSIS-927." You might find reviews, descriptions, or discussions about the product or content on various platforms. Rather than a monolithic package, SSIS‑927 is split
Rather than a monolithic package, SSIS‑927 is split into , each representing a functional domain (e.g., “POS_Ingest”, “WebLog_Transform”, “Dim_Product_SCD”). The master package orchestrates execution using the Execute Package Task (EPT) with SQL Server Agent jobs as the entry point. This modular design yields: