SAS Data Engineering

Unlock the full potential of your data with powerful cloud-native tools that let you access, manage and govern your data seamlessly, leading to better results and making information sharing easier.

Why choose SAS for data engineering?

Break down data silos

Cloud native Get seamless connectivity to popular cloud platforms, on-premises and multicloud data sources. Minimized data movement Access, integrate, cleanse and transform data, no matter where it resides. Faster in-database processing Deploy and execute models within the database, data warehouse or data lakehouse to increase productivity and achieve optimal results faster.

Simplify data infrastructure

Data pipeline orchestration Easily add advanced, prebuilt snippets and tasks to reduce code debt, while promoting reuse, data consistency and transparency. Augmented data prep Built-in machine learning and AI capabilities scan data and make intelligent transformation suggestions, enabling automated workflow at the click of a button. Low-code/no-code Jumpstart your data engineering efforts with multilanguage code support and a powerful low-code visual flow builder.

Trust your data

Consistent quality Industry-leading data profiling, data quality and entity resolution technologies help users assess the scope and nature of data quality problems across your data workflow. Regulatory compliance assurance Accelerate data discovery with automated agents. Evaluate the fitness of data while ensuring governance and monitoring of confidential data with an information privacy assessment. Data observability Gain real-time visibility into complex data workloads to reduce analytic errors and increase the production efficiency of data operations.

Built for the modern data stack

Open integration Enable continuous analytic deployment, centralized version control and unified data understanding through popular open-source integrations with GIT, Airflow and Great Expectations. Open metadata standard Develop a comprehensive understanding of your enterprise data by integrating SAS assets with third-party metadata through the open metadata standard.