Data Correction with Data Quality Services - SQL Server Integration Services Design Patterns - page 144

Knowledge Discovery is a computer-assisted process to build knowledge base in-
formation. You supply source data (from a SQL Server table or view or Excel file), and
map the input columns to knowledge base domains. This data will be imported into
DQS and stored as a set of known domain values.
The Matching Policy activity is used to prepare DQS for the data deduplication
process. From this UI, a data steward can create a policy that contains one or more
matching rules that DQS will use to determine how rows of data should be compared.
Data Quality Projects
A data quality project is one where you interactively cleanse or match your data. You'll
select the source of your data (SQL Server or an Excel file, which you can upload
through the client), and then map source columns to domains within your knowledge
base. Figure 5-4 shows a data quality project that will attempt to cleanse the Eng-
lishCountryRegionName and CountryRegionCode columns against do-
mains from the default DQS knowledge base.