Quality stages
Use the QualityStage stages in DataStage® to investigate, cleanse, and manage your data.
With the QualityStage stages, also known as data quality
stages, you can manipulate your data in the following ways:
- Resolve data conflicts and ambiguities.
- Uncover new or hidden attributes from free-form or loosely controlled source columns.
- Conform data by transforming data types into a standard format.
Stage functions
The following table lists the available stages and gives details on their functions:
| Stage | Icon | Function |
|---|---|---|
| Data rules |  |
Checks data quality anywhere in the flow of a job. |
| Investigate |  |
The character investigation type of Investigate stage analyzes and classifies data, parsing it into a single-pattern report. The word investigation type of Investigate stage uses a set of rules for classifying data such as personal names, business names, and addresses. |
| Match Frequency |  |
Generates the frequency distribution of values for columns in the input data. You use the frequency distribution and the input data in match jobs. |
| One-source Match |  |
Matches records from a single source file. |
| Standardize |  |
Makes source data internally consistent, so each data type has the same kind of content and format. |
| Two-source Match |  |
Compares two sources of input data (reference records and data records) for matches. |