About This Architecture

On-premises SSIS data engineering pipeline integrating DB2/AS400 source systems through ODBC and ADO.NET connectivity layers into SQL Server Data Warehouse. SSIS Packages orchestrated via SQL Server Agent scheduler and PowerShell scripts execute ETL transformations stored in SSISDB Catalog, with DTExec.exe handling package execution and runtime monitoring. Data Quality Service validates warehouse data while Monitoring System tracks agent logs and pipeline health, feeding consumption through Business Portal web application. This architecture demonstrates enterprise data integration patterns for organizations modernizing legacy mainframe systems without cloud migration. Fork and customize this diagram to document your own on-premises ETL topology, connectivity strategies, and scheduling workflows.

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How do you design an on-premises SSIS ETL pipeline that integrates DB2/AS400 mainframe systems into SQL Server with scheduling and data quality monitoring?

This diagram shows a complete on-premises SSIS architecture where DB2/AS400 sources connect via ODBC and ADO.NET drivers to SSIS Packages orchestrated by SQL Server Agent and PowerShell scripts. SSISDB Catalog stores package metadata, DTExec.exe executes jobs, and Data Quality Service validates warehouse data while Monitoring System tracks pipeline health and agent logs.

On-Premises SSIS Data Engineering Pipeline

AutointermediateSSISSQL ServerETLon-premisesdata warehouselegacy systems
Domain: Data EngineeringAudience: Data engineers managing legacy SSIS ETL pipelines on-premises with SQL Server
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Created by

August 15, 2026

Updated

August 17, 2026 at 12:32 AM

Type

architecture

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