SAS Data Management is a unified platform that includes SAS Data Integration, Data Quality and Master Data Management products. These applications give users the ability to discover, transform, cleanse, enrich, integrate, deliver and govern data from databases, enterprise applications, mainframe legacy files, text, extensible markup language message queues and big data structures. With the platform, users can also integrate and cleanse data from disparate systems such as on-premises and cloud sources, messaging systems, web services, proprietary systems and social media.
SAS Data Integration can deploy an extract, transform and load and an extract, load and transform architecture, helping users leverage native source or target platform capabilities as appropriate. Data integration and data quality processes can be deployed in batch mode, near real time and real time using message queues or web services. Data federation enables virtual business views of data that can be transformed and cleansed without physically reconciling and moving data. Specialized table loaders provide optimized bulk loading capabilities for Oracle, Teradata and DB2.
With SAS Data Management, data governance can be imposed by implementing business rules and policies across the SAS Data Integration, Data Quality, Data Federation and Master Data Management (MDM) products. Technical, business, process and administrative metadata is stored and managed across these same products along with a sophisticated administration and monitoring environment.
This platform offers more than 300 prebuilt SQL-based transformations that can insert, modify, merge and delete data from a variety of sources and targets, slowly changing dimensions Type 1 and 2 support, and change data capture using the Compare Tables transformation. Prebuilt data-cleansing standardization rules enable users to create customized rules, MDM features such as semantic data descriptions and fuzzy matching.
Data quality and MDM monitoring let data stewards track the quality of data in operational and analytical environments in real time or trends over time. Quality alerts also can be deployed to provide real-time notification.
The platform interfaces with various message queueing products such as Microsoft Message Queuing, IBM WebSphere MQ, TIBCO Rendezvous and Sun's Java Message Service.
Impact analysis lets users assess the impact of making changes to existing objects such as columns, tables and process jobs and data lineage; reverse impact analysis can be used to identify dependencies.
SAS code import capabilities enable current SAS users to import existing SAS jobs, code and SAS stored processes.
What does the latest version of SAS Data Management provide?
Version 2.6 of SAS Data Management provides enhancements to the following products:
- DataFlux SAS Data Management Server allows web service calls through a RESTful API for batch jobs, real-time data services and process services.
- SAS Data Loader for Hadoop, which supports IBM BigInsights Hadoop distributions, as well as new versions of Cloudera, Hortonworks and MapR.
- SAS Data Integration Studio provides updated support for the Hadoop (Hive), HAWQ, Impala, LASR, PI and SASHDAT engines.
- SAS Federation Server can now use the SAS Federation Server Driver for Apache Hadoop for read/write access to Hadoop (Hive).
- SAS MDM provides reports for SAS Visual Analytics and enhanced source system management functionality.
Who benefits from using SAS Data Management?
The SAS Data Management platform is typically used by large enterprises, especially those with data integration and data quality needs related to enterprise applications and MDM. Although the platform works independently of SAS analytical and statistical packages, customers can use it with the full spectrum of SAS products.
What editions of SAS Data Management are available?
SAS Data Management is available as a standard or advanced edition. The standard edition provides several products, including DataFlux Data Management Studio, DataFlux Data Management Server, Data Integration Studio and SAS/ACCESS. The advanced edition adds to the base offering such products as DataFlux Web Studio and Server, BI Mobile, Business Data Network, LASR Analytic Server or LASR Analytic Distributed Mode Server, Lineage, Quality Knowledge Base for Contact Information or Product Data, and Business Rules Manager (optional). Contact SAS for product edition and pricing options.
Which data integration features do you need?
Big data adds complexity to data integration
The data integration challenges of healthcare