Accelerate Your Data Journey: Migrate from SAS to PySpark/Python

In today's data-driven world, organizations are constantly seeking innovative solutions. Legacy systems like SAS, while powerful, often fall short. Migrating to a more flexible and scalable platform like PySpark can revolutionize your data operations.

Diagram showing the transition from SAS to Python for healthcare analytics.

Why Migrate from SAS?

While SAS has been a popular choice for data analysis, it comes with several limitations that can hinder a modern data strategy.

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High Upfront Costs

SAS requires significant upfront investments in licensing and infrastructure.

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Limited Scalability

It can struggle to handle large datasets and complex analytics workloads.

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Closed Ecosystem

The closed nature of SAS restricts integration with other modern tools and technologies.

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Vendor Lock-in

Reliance on a single vendor can limit flexibility and increase long-term costs.

Illustration of a complex, legacy data system.

The Power of PySpark

PySpark, built on Apache Spark, offers a compelling alternative. By leveraging Python, PySpark empowers organizations to:

  • Enhanced Scalability: Handle large datasets and complex analytics workloads with ease.
  • Reduced Costs: Lower licensing and infrastructure costs with open-source technology.
  • Increased Flexibility: Integrate with a wider range of tools and technologies like Hadoop and cloud services.
  • Accelerated Time to Insights: Foster collaboration and benefit from a vibrant community for data science and machine learning.

DEFTeam's Automated Migration Solution

We simplify the migration process with our proven, automated solution, reducing risk and accelerating your transition to PySpark.

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1. Code Analysis

We analyze your SAS code to identify potential issues and optimization opportunities.

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2. Code Conversion

Our tools automatically convert a significant portion of your SAS code to Python or PySpark.

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3. Quality Assurance

Rigorous testing ensures the accuracy and reliability of the converted code.

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4. Expert Support

Our experienced data engineers provide guidance and support throughout the migration process.

Featured Solution: AHRQ Python Software

For healthcare organizations, we offer a ready-made solution: our AHRQ Python Software. This product is a complete, expert conversion of the official AHRQ Quality Indicator modules from SAS to Python. It allows you to bypass a complex migration project and immediately adopt a modern, cost-effective platform for your quality reporting and healthcare analytics.

Diagram showing the transition from SAS to Python for healthcare analytics.

Success Story: SAS to PySpark Migration

Healthcare Analytics

Healthcare
Saving Millions for a Major Healthcare Provider

We helped a leading healthcare provider migrate their entire analytics platform from SAS to PySpark. Our automated solution converted thousands of lines of code, eliminating millions of dollars in legacy system licensing costs and enabling advanced analytics on their big data.

Ready to Embrace the Future of Data Analytics?

By migrating to PySpark, you can unlock the full potential of your data. DEFTeam is your trusted partner in this journey. Contact us today to learn more about our automated migration solution and how we can help you achieve your data goals.