Glossary - SAS Data Integration Studio 3.3 User's Guide - page 234

iterative processing
a method of processing in which a control loop executes one or more processes
multiple times.
job
a metadata object that specifies processes that create output.
locale
a value that reflects the language, local conventions, and culture for a geographic
region. Local conventions can include specific formatting rules for dates, times, and
numbers, and a currency symbol for the country or region. Collating sequences,
paper sizes, and conventions for postal addresses and telephone numbers are also
typically specified for each locale. Some examples of locale values are
French_Canada, Portuguese_Brazil, and Chinese_Singapore.
lookup standardization
a process that applies a scheme to a data set for the purpose of data analysis or data
cleansing.
match code
an encoded version of a character value that is created as a basis for data analysis
and data cleansing. Match codes are used to cluster and compare character values.
See also sensitivity.
metadata administrator
a person who defines the metadata for servers, metadata repositories, users, and
other global resources.
metadata model
a definition of the metadata for a set of objects. The model describes the attributes
for each object, as well as the relationships between objects within the model.
metadata object
a set of attributes that describe a table, a server, a user, or another resource on a
network. The specific attributes that a metadata object includes vary depending on
which metadata model is being used.
metadata repository
a collection of related metadata objects, such as the metadata for a set of tables and
columns that are maintained by an application. A SAS Metadata Repository is an
example.
metadata server
a server that provides metadata management services to one or more client
applications. A SAS Metadata Server is an example.
metadata source control
in the SAS Open Metadata Architecture, a feature that enables multiple users to
work with the same metadata repository at the same time without overwriting each
other's changes. See also change management.
operational data
data as it exists in the operational system, which is used as source data for a data
warehouse.
operational system
one or more programs (frequently relational databases) that provide source data for a
data warehouse.
owner
the person who is responsible for the contents of an object such as a table or a
library. See also administrator.