If you can't find the product or version you're looking for, visit support.ataccama.com/downloads

Configure Profiling

You can customize the profiling parameters as needed, including the preconfigured sample and full profiling options.

View profiling settings

To view the profiling settings, go to Global Settings > Profiling.

For each profiling configuration, the following information is shown:

Name: The name of the profiling configuration.
Type: The type and scope of profiling.
Description (optional): A description of the profiling configuration.
Anomaly detection enabled: Shows whether anomaly detection is run during profiling (only available on full profiling).
Anomaly detection sensitivity: Shows the sensitivity of anomaly detection configured.
Partitioned: Shows whether profiling partitions is supported.
DQ eval enabled: Shows whether automatic DQ evaluation is run after the profiling.

Create a new profiling configuration

To create a new profiling configuration:

In Global Settings > Profiling, select Create.
Provide the following information:
- Name: A unique name for the profiling configuration.
- Description: A description of the profiling and when to use it.
- Type: CUSTOM_FULL for full profiling or CUSTOM_SAMPLE for sample profiling configuration.
- Partitioned: Enable partition profiling.
- DQ eval enabled: Enables automatic DQ evaluation when the profiling is run.
If you selected CUSTOM_SAMPLE, in Limit number or profiled rows, define the size of the profiled sample. This can be set as a percentage of all records or the maximum number of rows regardless of the total size of the dataset.

Records are selected randomly if the source supports this.
If you selected CUSTOM_FULL, set the anomaly detection preferences:
- Detect anomalies: Enables anomaly detection during profiling. To learn more, see Anomaly Detection in Catalog Items.
- Anomaly detection sensitivity: Select from Very high, High, Medium, Low, and Very low.
  
  For details, see Anomaly Detection in Catalog Items, section Anomaly detection sensitivity.
- Anomaly detection model: Select Time independent or Time dependent.
  
  For details, see Anomaly Detection in Catalog Items, section Time-independent vs. time-dependent model.
Select Save and publish your changes.

Edit profiling configuration

To edit an existing profiling configuration, in Global Settings > Profiling, open the required configuration and in the three dots menu select Edit.

Update the configuration as needed: see Create a new profiling configuration for details about the options available. Next, select Save and publish your changes.

Delete profiling configuration

We do not recommend deleting any of the default profiling configurations.

To delete a profiling configuration, in Global Settings > Profiling, open the required configuration and in the three dots menu select Delete. Confirm your choice when prompted and publish your changes.

Was this page useful?