An industry-leading data management solution – built on the SAS® Platform – that helps you improve, integrate and govern your data.
Provides an intuitive, role-based GUI for managing process with drag-and-drop functionality, source system access and a customizable metadata tree.
Lets you build and edit data management processes with a visual, end-to-end event designer.
Connects in real time or batch to more data sources on more platforms than other solutions.
Includes integrated business glossary, SAS and third-party metadata management, and lineage visualization.
Simplifies collaboration and reuse with out-of-the-box SQL-based transforms for creating tables or joining, inserting, deleting updating and merging data.
Migrates or synchronizes data between database structures, enterprise applications, mainframe legacy files, text, XML, message queues, etc.
Provides virtual access to database structures, enterprise applications, mainframe legacy files, text, XML, message queues and other sources.
Integrates asynchronous business processes via message-based connectivity.
Lets you track metrics with job status and performance reports, as well as trending information.
Imports and exports metadata from third-party applications for easier access to Hadoop data.
Lets you integrate work with other data flows, and then schedule and monitor it using SAS technologies.
No matter where your data is stored – from cloud, to legacy systems, to data lakes, like Hadoop – SAS Data Management helps you access the data you need. Create data management rules once and reuse them, giving you a standard, repeatable method for improving and integrating data – without additional cost.
Use one seamless technology and be confident your data is ready for action.
SAS Data Management technology is truly integrated, which means you’re not forced to work with a solution that’s been cobbled together. All our components – from data quality to data federation technology – are part of the same architecture. And we’re experts at making sure data is prepared for visualization, analytics or operational use. We promote data quality, transparency and accountability. Built-in auditing tools monitor processing. And source data lineage enables you to trace data usage across the organization.
SAS Data Management gives you the perfect balance of choice and control, enabling you to run in a variety of compute environments with virtually any data – from new computer tiers (Spark, MapReduce, Presto), files systems (S3, Parquet, Avro, Orc) and databases (MongoDB, RedShift, Cassandra) to existing database systems (Teradata, Oracle, SAP). Deploy your ETL flows to run in multiple computing frameworks. Reuse ETL and data quality processes to ensure consistent, trusted data and prevent new silos from developing. Combine batch data with data in motion to glean new insights for calls to action, with real-time alerts and notifications.
Store and manage technical, business, process and administrative metadata to facilitate reuse of existing table definitions, business rules and more. Mapping technologies make it easy to propagate column definitions from sources to targets and create automated, intelligent table joins across both SAS and third-party data integration and data modeling tools.
An ambitious, culture-centric project reshaped people’s attitudes about data and quickly returned more than a $1 million in cost savings. See the six guiding principles that led to success where three earlier attempts had failed.
See how local, state and federal government agencies can use data and analytics to address the challenges of attracting and keeping the right people, developing a workforce that can deliver the agency’s mission, and doing it efficiently for the best return to taxpayers.
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