Sold by: Hexaware Technologies
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.
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:
- Assessment – Identify SAS script complexity
- Preprocessing – Fine-tune OpenAI models for optimal conversion results
- Automated Conversion – Gain real-time insights via a conversion dashboard
- 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
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