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
-
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 context menu, select a type of analysis.
- 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.
- Semantic-aware Analysis: analyze the
selected table based on information gathered in the semantic
repository.
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 context menu, select an action to perform or a type of
analysis.
- 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 Statistics and 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.
- Analyze: create an analysis for the
selected column. You must later set the indicators you want to
use to analyze the selected column.
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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