Løsninger & produkter / In-Database Processing

SAS® In-Database

Reduce large-scale data movement and derive quick analytical insights with analytical processing inside the database

SAS In-Database processing is a flexible, efficient way to leverage increasing amounts of data by integrating select SAS technology into databases or data warehouses. It utilizes the massively parallel processing (MPP) architecture of the database or data warehouse for scalability and better performance. Moving relevant data management, analytics and reporting tasks to where the data resides is beneficial in terms of speed, reducing unnecessary data movement and promoting better data governance. For decision makers, this means faster access to analytical results and more agile and accurate decisions.

Det kan du med SAS® In-Database

Derfor skal du vælge SAS

  • In-database options for data management and analytics. SAS has taken an industry lead in offering in-database options for data management and analytics 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 databases. Currently SAS has delivered in-database capabilities with Aster Data, Pivotal (previously Greenplum),  DB2, IBM Netezza, Oracle and Teradata.
  • Streamlined model registration and validation. SAS Model Manager, an analytic model management environment, is fully integrated with SAS Scoring Accelerator to streamline the registration, validation and deployment of analytical 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.

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