Enterprise Data Engineering Pipeline Architecture architecture diagram

About This Architecture

Enterprise data engineering pipeline orchestrating IBM DB2 on AS/400 source data through SQL Server Integration Services (SSIS) packages into PostgreSQL repositories. Data flows from legacy mainframe systems via ODBC/ADO.NET connectors, processed by SSIS packages, and loaded into target repositories feeding business portals and reporting layers. SQL Server Agent schedules PowerShell scripts that trigger DTExec execution, managing package deployment through the SSISDB catalog with cross-cutting data quality, monitoring, logging, and governance capabilities. This architecture bridges legacy enterprise systems with modern analytics infrastructure while maintaining auditability and reliability standards. Fork this diagram on Diagrams.so to customize scheduling logic, add additional source systems, or integrate cloud data warehouses into your ETL topology.

People also ask

How do you design an enterprise ETL pipeline that integrates legacy IBM DB2 mainframe systems with modern data repositories using SQL Server?

This diagram shows a complete enterprise data engineering architecture where SQL Server Integration Services (SSIS) packages extract data from IBM DB2 on AS/400 via ODBC/ADO.NET, transform it, and load into PostgreSQL repositories. SQL Server Agent schedules PowerShell scripts that execute SSIS packages through DTExec, managed by the SSISDB catalog, with integrated data quality, monitoring, loggin

Enterprise Data Engineering Pipeline Architecture

AutoadvancedSQL ServerSSISETLData EngineeringEnterprise ArchitectureLegacy Integration
Domain: Data EngineeringAudience: Enterprise data engineers managing legacy-to-modern ETL pipelines with SQL Server Integration Services
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Created by

August 15, 2026

Updated

August 15, 2026 at 7:11 PM

Type

architecture

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