SAS Data Integration Studio is a visual design tool
that enables data integration specialists to consolidate and manage
enterprise data from a variety of source systems, applications, and
technologies. This software enables these users to create process
flows that accomplish the following tasks:
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extract, transform, and load (ETL)
data for use in data warehouses and data marts
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cleanse, migrate, synchronize,
replicate, and promote data for applications and business services
SAS Data Integration Studio enables users to integrate
information from any platform that is accessible to SAS and from any
format that is accessible to SAS.
The following
table introduces the administrative tasks that are associated with
SAS Data Integration Studio:
Administrative Tasks for SAS Data Integration Studio
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Make sure that your
data integration specialists can connect to the necessary SAS servers.
For example, each user must be able to connect to the SAS Metadata
Server to register data sources and other objects.
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Make sure that your
data integration specialists can connect to the necessary data servers.
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Set up a change-managed
folder in the Folders tree, if desired. This enables individual users
to check objects out of a foundation repository and place them in
a private repository. The private repository, called a project repository,
provides a location where the users can test changes.
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Set up multi-tier environments
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Set up SAS Data Integration
Studio to work in a multi-tier configuration. Almost all configurations
have multiple tiers.
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Administer message queues
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Install third-party
message queue software, define queues, and register queues for inter-process
communication.
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Configure stored process
servers for the deployment of stored process jobs or Web service jobs
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Install SAS Stored Process
Servers as needed for jobs that are deployed as stored processes or
Web services that generate XML output.
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Configure the SAS Workspace
Server to enable the bulk loading of data
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Enable SAS Workspace
Servers to execute external commands so that jobs can rapidly load
data into a DBMS.
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Test the Platform Computing
Scheduling Server
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Test the servers (and
clients) that enable your users to schedule sets of SAS Data Integration
Studio jobs.
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Set up the SAS Data
Quality Server software
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Set up the infrastructure
necessary for your users to use data-quality transformations.
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Redirect output and
logging information to a file
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Specify alternative
destinations for the SAS log and SAS output.
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Configure status code
handling
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Configure jobs to send
status codes via e-mail, to files, or by executing a SAS program.
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Use FTP or HTTP servers
to access external files
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Install a content server
to access external files.
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