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    Automated SAS to Pyspark Conversion

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    SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.
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    Automated SAS to Pyspark Conversion

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    Overview

    As organizations transition to cloud-native, open-source analytics, migrating away from SAS is essential—but manual conversion can be time-intensive, error-prone, and resource-heavy because relying on traditional SAS analytics is challenging.

    Hexaware’s Amaze® offers an AI-powered, automated solution to accelerate SAS-to-PySpark migration, ensuring high accuracy and reduced effort. Amaze® simplifies the entire process while minimizing operational risks and business disruptions.

    Hexaware’s 4-step AI-powered migration framework ensures a seamless, scalable, and cost-effective transition:

    1. Assessment – Identify SAS script complexity
    2. Preprocessing – Fine-tune OpenAI models for optimal conversion results
    3. Automated Conversion – Gain real-time insights via a conversion dashboard
    4. Validation & Deployment – Ensures production-ready code with minimal manual intervention

    Amaze® transforms how enterprises modernize analytics, enabling them to leverage AWS for scalability, efficiency, and innovation.

    Highlights

    • Intelligent End-to-End Conversion: Our solution provides a comprehensive framework that intelligently analyzes SAS code, converts it to PySpark, and ensures deploy-ready output, streamlining the entire migration process.
    • AI-Powered Optimization: Leveraging advanced AI techniques, including agentic workflows and RAG, our system not only translates but optimizes code for PySpark environments, ensuring superior performance
    • Robust Validation and Testing: With multiple layers of validation, including unit and regression testing, we guarantee data integrity and functional equivalence between SAS and PySpark implementations

    Details

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    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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