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SAS® Data Engineering
Seamless connectivity to popular cloud platforms, on-premises and multicloud data sources
Access, integrate, cleanse and transform data, no matter where it resides.
Deploy and execute models within the database, data warehouse or data lakehouse to increase productivity and achieve optimal results faster.
Easily add advanced, prebuilt snippets and tasks to reduce code debt, while promoting reuse, data consistency and transparency.
Built-in machine learning and AI capabilities scan data and make intelligent transformation suggestions, enabling automated workflow at the click of a button.
Jumpstart your data engineering efforts with multilanguage code support and a powerful low-code visual flow builder.
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.
Accelerate data discovery with automated agents. Evaluate the fitness of data while ensuring governance and monitoring of confidential data with an information privacy assessment.
Gain real-time visibility into complex data workloads to reduce analytic errors and increase the production efficiency of data operations.
Enable continuous analytic deployment, centralized version control and unified data understanding through popular open-source integrations with GIT, Airflow and Great Expectations.
Develop a comprehensive understanding of your enterprise data by integrating SAS assets with third-party metadata through the open metadata standard.
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