Data Profiler Dashboards

Data profiling helps you understand the structure, content, and quality of your data by identifying patterns, inconsistencies, and potential data quality issues early in the pipeline.

In Data Pipeline Studio, the data profiler job runs after the successful completion of a data integration job. The data profiler output can be reviewed either as job results or visually through the Profiler dashboards.

Profiler dashboards present profiling results using widgets. Each widget displays the same underlying data in different visual formats, allowing you to analyze the information from multiple perspectives and choose the view that best suits your needs.

The following views are available across widgets:

• Column view

• Pie view

• Line view

• Area view

• Bar view

• Donut view

Each widget also includes a right pane that displays detailed information in a tabular format, enabling deeper analysis of the data shown in the charts.

The Profiler dashboard widgets covered in this section are:

• Data Type Distribution

• Data Distribution

• Data Completeness

• Data Uniqueness

• Distinctness

• Character Count

• Count

• Statistical Count

• Validity

Select a widget to learn more about the metrics it displays, the available views, and how to interpret the results.

Recommended Topics

What's next? Data Type Distribution