Reduce the movement of large volumes of data and improve performance run times for critical applications
Components of SAS® In-Database
- Scoring Acceleration – High-performance model scoring with faster time to results.
- Analytics Acceleration for Teradata – Improve data governance on predictive analytics projects and produce faster, better results.
- In-Database Analytics with a Teradata Enterprise Data Warehouse – Develop and deploy SAS Analytics with the Teradata Enterprise Data Warehouse platform.
How SAS® Is Different
- In-database options for data management, analytics and business intelligence. SAS has taken an industry lead in offering in-database options for data management, analytics and business intelligence capabilities to provide our customers with quick insights and maximum value.
- Support for third-party data warehouses and databases. SAS supports in-database analytics (data preparation, model development and deployment) on a wide range of third-party data warehouses and databases. Currently SAS has delivered in-database capabilities with Aster, EMC Greenplum, IBM DB2, IBM Netezza, Oracle and Teradata.
- Streamlined model registration and validation. SAS Model Manager, an analytic model management and deployment environment, is fully integrated with SAS Scoring Accelerator to further streamline the registration and validation of SAS models inside the database. The solution tracks and monitors model performance over time so you can decide quickly whether to update, retire or create new models.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.