SAS Data Engineering

Streamline your data and empower your business with the next generation of data engineering solutions.

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Why choose SAS for data engineering?

Break Down Data Silos

Cloud native

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.