SAS Data Engineering

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.

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.

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.

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.