This section describes basic features of Talend data profiling solution.
Using Talend data quality, you can connect to data sources to analyze their structure (catalogs, schemas and tables), and stores the description of their metadata in its metadata repository. You can then use this metadata to set up metrics and indicators.
For more information, see Setting up connections to data sources.
Patterns are sets of strings against which you can define the content, structure
and quality of high complex data. The Profiling perspective
of the studio lists two types of patterns: regular expressions, which are
predefined regular patterns, and SQL patterns which are the patterns you add using
For more information about patterns, see Patterns.
Indicators are the results achieved through the implementation of different patterns. They can represent the results of data matching and different other data-related operations. The Profiling perspective of the studio lists two types of indicators: system indicators, a list of predefined indicators, and user-defined indicators, a list of those defined by the user.
For more information about indicators, see Indicators.