You can create a profile for a source object after you create a connection to the data source. After you create the profile, run it to view the profile results.

You can add a filter to run the profile on filtered results. For example, to view county-specific sales, you can filter the Sales table based on a county and then run the profile. You can add a schedule to run the profile at regular intervals. You can add rule specification, cleanse, and verifier assets as rules to a profile. You have to create these assets in

Data Quality

.

When you run a profile on a source object, the results include the following column statistics:

Number of distinct, non-distinct, and null values
Percentage of distinct, non-distinct, null, zero, and blank values
Documented and inferred data types
Number of patterns
Percentage of top pattern
Maximum and minimum length of values
Maximum and minimum values
Average, sum, and standard deviation for numeric data types
Value frequencies
Outliers

After you run a profile, you can perform the following actions:

Drill down on value, data type, and pattern to view drilldown results.
View historical and latest profile results
Create and run queries to view source rows that have data quality issues.
Compare multiple columns in a profile run
Compare two profile runs to analyze the statistics
Export profile results to a Microsoft Excel file
Monitor profile jobs in
Data Profiling
,
Monitor
, or
Operational Insights
.