Learn how to automate end to end transformation of legacy on-premises SSIS based ETL solution into a modern, cloud-native Microsoft Fabric pipeline along with Working Demo of Proof Of Concept.
For years, SQL Server Integration Services (SSIS) has been the workhorse of enterprise data integration. But as the world moves toward unified, cloud-native analytics platforms like Microsoft Fabric, the path forward involves more than a simple "lift-and-shift." It requires technology modernization.
Migrating from an on-premises, server-based SSIS world to the SaaS-based, Lakehouse-centric paradigm of Fabric is a complex undertaking. Doing it manually means understanding two different ecosystems, mapping dozens of components, and spending countless hours on repetitive, error-prone tasks.
In this detailed walkthrough, I demonstrate a proof-of-concept for a Migration Accelerator Engine built entirely in Python.
In this video, you'll learn:
1. The core reasons for migrating from SSIS to Microsoft Fabric (Technology Modernization).
2. The architectural differences between SSIS (ETL) and Fabric (ELT).
3. A step-by-step code walkthrough of the Python-based accelerator, including:
- Parsing SSIS .dtsx (XML) files.
- Mapping SSIS components to Fabric assets.
- Generating Fabric Data Pipelines using the REST API.
4. A live demo where we take a simple SSIS package and automatically deploy it to a Fabric workspace.
5. A look at the future of this project and how you can get involved.
This project proves that we can move beyond manual "lift-and-shift" and build intelligent tools to accelerate our cloud journey.
https://www.youtube.com/watch?v=Fk6tvoKRNt8
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