SAS Implements Open-Source Integration for Its Data Analytics Software

CARY, N.C. — SAS is extending its flagship data analytics software to support open-source users.

SAS Viya is intended to improve confident decisions by application developers and data scientists by automating model development, deployment, and governance, according to SAS last month.

For instance, open-source users can develop an API-first strategy, fuel a data preparation routine with machine learning (ML), or improve interoperability.

Open-source users can learn more about how SAS works with open source by downloading the e-book “Drive Analytic Innovation Through SAS and Open Source Integration” and by visiting developer.sas.com.

Using open source to resolve challenges and create business value requires a “structured, unified framework for orchestration support,” SAS said.

SAS EVP and CTO Bryan Harris said simplifying and automating data collection and model deployment are “critical, regardless of the technologies you choose.” 

“When you figure this out for your ecosystem, the payoff is huge,” Harris said. “SAS Viya can help get you there.”  

Organizations pull in SAS Viya for various open source needs, including:

• Harnessing its cloud-native, high-performance architecture
• Building models faster using parallel processing for endless scalability
• Automated feature engineering with ML-powered data preparation
• Establishing model governance and management processes for SAS and open source
• Using Python or R directly with SAS or integrating SAS into applications using REST APIs
• Deploying models developed in SAS or open source to different environments, such as cloud, containers, streaming or on-site edge devices
• Writing and running native Python code directly in the S