Modernize SAS to Pyspark Assessment

Hexaware’s SAS to PySpark modernization offering empowers enterprises to transform legacy SAS analytics workloads into scalable, cloud-native PySpark pipelines. Leveraging the AI-powered Amaze® accelerator, this program begins with an in-depth automated assessment of your SAS scripts, macros, and dependencies to deliver a precise complexity and fit-gap analysis. This enables a clear, data-driven modernization strategy with up to 70% automation, significantly accelerating timelines and reducing risk.

The program includes a pilot validating the modernization of 50 critical SAS scripts. This pilot showcases seamless code conversion, functional equivalence, and optimized PySpark performance, while minimizing business disruption. Amaze® ensures high code accuracy, applying intelligent macro handling, structural normalization, and automated data validation leveraging hash-based row comparison for numerical parity. Beyond the pilot, Hexaware collaborates to build a roadmap for full-scale SAS workload modernization. This includes refactoring data transformations, integrating PySpark code within cloud orchestration pipelines, and enhancing scalability for data-intensive workloads. With native cloud integration and multi-cloud flexibility, this transformation supports advanced AI/ML analytics and accelerates time-to-market.

Solution Portfolio Overview

• Automated SAS code ingestion, complexity scoring, and fit-gap analysis • AI-enabled SAS to PySpark automated conversion and optimization • Integrated data validation and quality assurance for output parity • Pipeline integration and PySpark environment setup with DevOps automation • Performance tuning and Spark-specific optimizations • Detailed migration roadmap, knowledge transfer, and hypercare support

Business Benefits

• Reduce analytics TCO by 40-60% by eliminating SAS licensing and scaling cost-effectively with PySpark • Achieve 3-5x faster processing on large datasets via distributed Spark architecture • Accelerate modernization timelines by ~50% using Amaze® automation • Increase agility with cloud-scale, parallel data processing pipelines • Future-proof analytics with seamless AI/ML readiness and native cloud integration

Outcomes

Engaging with Hexaware’s SAS to PySpark modernization offering gives organizations a validated pilot on 50 scripts, ensuring low-risk migration with strong output parity and performance gains. Hexaware’s expert-driven journey unlocks significant cost savings, operational efficiency, and a scalable foundational platform for advanced analytics modernization

Key Azure Services:

Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Blob Storage, Azure Devops, Azure Key Vault, Azure Monitor, Azure Active Directory

Pricing: 50k USD, Duration: 6 weeks

SAS to PySpark Modernization offering is designed around a structured engagement model. It begins with a 1-week discovery workshop to understand your SAS environment, followed by a week dedicated to prioritizing and validating SAS scripts targeted for migration. The pilot migration phase involves converting 50 SAS workloads with AI-powered LLM support over 2-3 weeks, ensuring high automation and accuracy. The offering includes thorough validation and lifecycle management to guarantee reliable, scalable PySpark workloads aligned with business needs.