Best practices for building machine learning pipelines in Microsoft Fabric?

Great questions! A workflow that has worked well for many Fabric users is:

• Organize your project by layers rather than by notebooks. A common structure is:

  • Bronze: Raw data ingestion

  • Silver: Cleaned and transformed data

  • Gold: Feature-ready datasets for ML

  • Separate notebooks for data exploration, feature engineering, training, evaluation, and inference.

• Choose the right tool for data preparation.

  • Use Dataflows Gen2 for reusable low-code ETL and business transformations.

  • Use Spark notebooks for feature engineering, large-scale data processing, and ML-specific preprocessing.

  • Store curated datasets in Lakehouse or Warehouse depending on downstream requirements.

• Track experiments and models.

  • Use MLflow, which is integrated with Microsoft Fabric, to log parameters, metrics, artifacts, and register models. This makes it much easier to compare experiments and reproduce results.

• Deployment and monitoring.

  • Validate models on a holdout dataset before deployment.

  • Version both your data and models.

  • Automate retraining with Fabric Pipelines when appropriate.

  • Monitor prediction quality, latency, and potential data drift, and retrain when performance degrades.

• General best practices.

  • Keep notebooks modular and focused on a single task.

  • Use Git integration for source control.

  • Parameterize notebooks instead of hardcoding values.

  • Build reusable feature engineering logic where possible.

  • Document assumptions, data lineage, and model versions.

I'm also interested in learning from production deployments.How are others handling CI/CD, model monitoring, and MLOps in Microsoft Fabric? Any real-world architecture diagrams, lessons learned, or recommended patterns would be greatly appreciated!

Want to growth in my knowledge 

Thankyou Prince0011 , RutuuJaaa_03   for Addressing the issue.

Hi binitafulpagare ,

Thank you for reaching out to Microsoft Fabric Community Forum,

As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?

Regards,

Chaithanya

Hi v-kathullac,

Thank you for following up.

Yes, the information and guidance shared in this thread have answered my question and helped me better understand the topic. I appreciate the time and effort taken by you, Prince0011, and RutuuJaaa_03 to provide detailed explanations and useful recommendations.

Thank you once again for your support and for helping make the Microsoft Fabric Community such a valuable learning resource.