Creating analyses from table or column names
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About this task
The options from the table name are different from the options from the column name.
Procedure
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To create a column analysis directly from the relevant table name in the
DB Connection, do the following:
- In the DQ Repository tree view, expand Metadata > DB Connections.
- Browse to the table that holds the columns you want to analyze and right-click it.
-
From the contextual menu, select:
Item
To...
Semantic-aware Analysis
analyze the selected table based on information gathered in the semantic repository.
For further information, see Steps to use the Semantic-aware analysis.
Match Analysis
open the match analysis editor where you can define match rules and select the columns on which you want to use the match rules.
For more information see Analyzing duplicates.
Table Analysis
analyze the selected table using SQL business rules.
For more information on the Simple Statistics indicators, see Simple statistics.
Column Analysis
analyze all the columns included in the selected table using the Simple Statistics indicators.
For more information on the Simple Statistics indicators, see Simple statistics.
Pattern Frequency Analysis
analyze all the columns included in the selected table using the Pattern Frequency Statistics along with the Row Count and the Null Count indicators.
For more information, see Pattern frequency statistics.
These steps replace the procedures outlined in Defining the columns to be analyzed and setting indicators. You can proceed following the steps outlined in Finalizing and executing the column analysis. -
To create a column analysis directly from the column name in the DB
Connection, do the following:
- In the DQ Repository tree view, expand Metadata > DB Connections.
- Browse to the columns you want to analyze and right-click them.
-
From the contextual menu, select:
Item
To...
Analyze
create an analysis for the selected column
you must later set the indicators you want to use to analyze the selected column.
For more information on setting indicators, see Setting indicators on columns. For more information on accomplishing the column analysis, see Finalizing and executing the column analysis.
Nominal Value Analysis
create a column analysis on nominal data preconfigured with indicators appropriate for nominal data, namely Value Frequency, Simple Statisticsand Text Statistics indicators.
Simple Analysis
analyze the selected column using the Simple Statistics indicators.
For more information on the Simple Statistics indicators, see Simple statistics.
Pattern Frequency Analysis
analyze the selected column using the Pattern Frequency Statistics along with the Row Count and the Null Count indicators.
For more information on the Pattern Frequency Statistics, see Pattern frequency statistics.
Analyze Column Set
perform an analysis on the content of a set of columns. This analysis focuses on a column set (full records) and not on separate columns as it is the case with the column analysis.
For more information, see Creating a simple table analysis (Column Set Analysis).
Analyze Correlation
perform column correlation analyses between nominal and interval columns or nominal and date columns in database tables.
For more information, see Numerical correlation analyses.
Semantic-aware Analysis
analyze the selected column(s) based on information gathered in the semantic repository.
For further information, see Steps to use the Semantic-aware analysis.
Analyze matches
open the match analysis editor where you can define match rules and select the columns on which you want to use the match rules.
For more information see Analyzing duplicates.
These steps replace one of or both of the procedures outlined in Defining the columns to be analyzed and setting indicators. You can proceed following the same steps outlined in Finalizing and executing the column analysis.
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