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in SAS data quality, the process of evaluating input data sets in order to determine whether data cleansing is needed.
the process of eliminating inaccuracies, irregularities, and discrepancies from character data.
a search that seeks to identify the tables, columns, and transformations that have an impact on a selected table or column.
See also impact analysis.
See also reverse impact analysis.
See also transformation.
in SAS data quality, a data cleansing process that applies a scheme to specified character values. The scheme creates match codes internally in order to create clusters. All values in each cluster are then transformed to the single value that occurs most frequently in each cluster.
a collection of one or more database management system files that are recognized by SAS and that are referenced and stored as a unit. Each file is a member of the library.
a server that provides relational database services to a client. Oracle, DB/2 and Teradata are examples of relational databases.
a character that separates words or phrases in a text string.
a mapping between a source column and a target column in which the value of the target column is a function of the value of the source column. For example, if two tables contain a Price column, the value of the target table's Price column might be equal to the value of the source table's Price column multiplied by 0.8.
a column in a cross-reference table that contains a concatenation of encrypted values for specified columns in a target table. If a source row has a digest value that differs from the digest value for that dimension, then changes are detected and the source row becomes the new current row in the target. The old target row is closed out and receives a new value in the end date/time column.
one or more rows in a dimension table that have the same business key value.
in a star schema, a table that contains the data for one of the dimensions. The dimension table is connected to the star schema's fact table by a primary key. The dimension table contains fields for each level of each hierarchy that is included in the dimension.
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