Migrating from SAS to Microsoft Fabric modernizes legacy workloads by replacing expensive, siloed infrastructure with a unified, cloud-native analytics platform. It allows teams to automate code conversion, centralize data in OneLake, and run AI-powered decision pipelines without leaving the Fabric ecosystem.
Transitioning your environment involves leveraging automation tools, restructuring data processing, and taking advantage of native SAS extensions directly within Fabric.
Automated Code Migration & Modernization
Manual conversion of SAS code (Base, SQL, ETL) is time-consuming and introduces risks. You can use intelligent automation to translate legacy logic into PySpark and Fabric SQL.
Automation Tools: Products like the SAStoPY on the Azure Marketplace can scan SAS portfolios, extract dependencies, and AI-generate Fabric-compatible data pipelines.
Benefits: Speeds up migration, ensures data quality assurance, and translates data preparation directly into modern Fabric workflows
Leverage SAS Decision Builder
You do not need to abandon SAS analytics entirely. SAS has natively integrated SAS Decision Builder on Microsoft Fabric to run directly on the Fabric environment.
What it does: Allows you to combine multiple AI models, business rules, and logic into composite workflows using data already in Fabric's OneLake.
Integration: Available as a SaaS offering, providing intelligent decision intelligence without needing a separate standalone SAS infrastructure
Data Transformation to Fabric OneLake
Instead of converting files, Fabric enables you to house all data seamlessly in OneLake (Parquet format).
Fabric Pipelines: Replaces legacy SAS ETL/scheduling jobs with robust, drag-and-drop orchestration tools.
Data Engineering: Replaces SAS data steps with Spark notebooks or Dataflows Gen2, drastically improving scaling and performance