Fabric modernization stalls when the first project is not analytics, but rewriting production-tested SSIS packages. Many Dynamics GP, NAV, SL, AX, and SQL-backed ERP environments already have years of extraction, lookup, validation, and error-routing logic in SSIS. Rebuilding that logic before data reaches OneLake adds cost before value.
A rewrite discards work that already sits on stable ground. COZYROC has built SSIS tooling for 20 years, the SSIS+ suite spans , and an Ultimate subscription costs with 2 license keys. Set that against the contractor hours needed to rebuild tested package logic as notebooks, and the comparison is not close.
The Rewrite Problem
Fabric is often chosen as the analytics destination: OneLake, Lakehouse storage, SQL endpoints, Power BI, and AI-ready data products. The hard part is getting controlled ERP data into that destination without discarding the integration work the company already paid for.
For teams with existing SSIS assets, the architecture decision usually looks like this:
- Rewrite package logic as Fabric Dataflows.
- Rewrite orchestration and transformation logic as notebooks.
- Provision another SSIS execution path.
- Use a managed package runtime that can run existing SSIS workloads.
Option four is where fits. Flex is the COZYROC Cloud mode for custom-built SSIS packages. Existing packages are developed and tested in Visual Studio, uploaded to COZYROC Cloud, parameterized, scheduled, and monitored.
COZYROC Components For Fabric Lift-And-Shift
| Pain point | COZYROC component | Architectural result |
| Existing SSIS packages contain stable ERP logic | COZYROC Cloud Flex | Packages can be uploaded and run in a cloud execution model instead of being rewritten first |
| Package execution needs scheduled operation | Recurring or one-time runs can be configured in COZYROC Cloud | |
| External systems need event-triggered execution | HTTP events can trigger package executions and pass request data | |
| On-prem or private resources need parameterized connectivity | Connection details can be exposed through reusable SSH expressions and environment variables | |
| SaaS APIs need token files | Tokens created at design time can be uploaded or managed for package and Gem executions |
Where “Zero Code Rewrites” Is Accurate
“Zero code rewrites” is accurate only for an existing SSIS package that can be uploaded and executed through COZYROC Cloud Flex after normal compatibility, parameter, connection, and runtime checks. It is not a promise that every integration problem disappears.
Use this phrase only in this narrow scenario:
Existing SSIS package + compatible runtime target + COZYROC Cloud Flex upload = no manual conversion into Dataflows or notebooks.
For new Fabric integrations, the better claim is reduced custom development through SSIS package design, reusable components, REST configuration, scheduling, and webhook orchestration.
Fabric Landing Pattern
A practical pattern looks like this:
- Keep proven ERP extraction and validation logic in SSIS.
- Upload the package to COZYROC Cloud Flex.
- Parameterize source, target, credentials, and environment values.
- Schedule package execution or trigger it with a webhook.
- Land validated ERP data into the Fabric-facing destination selected by the data team.
TCO And ROI Framing
The ROI case is strongest when the organization already owns SSIS logic:
- Reduced rewrite labor.
- Lower regression risk from preserving tested package behavior.
- Faster time to Fabric analytics because integration migration is not the first bottleneck.
- Better use of existing SSIS developer skills.
FAQ
Do we have to rewrite SSIS packages as Dataflows or notebooks to adopt Fabric?
No, rewriting is one option, not the requirement. runs existing SSIS packages: develop and test in Visual Studio, upload, parameterize, schedule, and monitor. Production-tested extraction, lookup, validation, and error-routing logic keeps working while the data team builds on OneLake, instead of being rebuilt before any analytics value lands.
When is “zero code rewrites” actually true?
Only in one narrow scenario: an existing SSIS package, a compatible runtime target, and a COZYROC Cloud Flex upload after normal compatibility, parameter, connection, and runtime checks. It is not a promise that every integration problem disappears. For brand-new Fabric integrations, the honest claim is reduced custom development through package design, reusable components, and REST configuration.
How do cloud-run packages reach on-prem ERP systems?
Through in COZYROC Cloud. Connection details for on-prem or private resources are exposed through reusable SSH expressions and environment variables, and packages reference them as parameters. Private hosts and ports stay configuration values instead of hardcoded strings, which keeps one package portable across environment targets.
Can scheduled and event-driven execution coexist after lift-and-shift?
Yes, both are platform features. cover recurring or one-time runs, and let external HTTP events trigger package executions and pass request data. A nightly ERP extract and an on-demand reload triggered by an upstream system can be the same uploaded package with different entry points.
