Using Distributed Sampler

The Distributed Sampler is accessible from Data Builder from .

For distributed data stores, the Distributed Sampler is a utility that lets you perform sampling on your data stores and then load that information in the Knowledge Base as part of the Data Inventory process.

Sampling lets you obtain information about the distribution of your data. You can use the distribution as a way to assign classes to other data elements with similar data distributions.

There are three types of sampling:

• Compressed sampling - Produces the data element fingerprint. The fingerprint graphically shows the distribution of values within a given range for the sampled data element. The fingerprints for numeric and alphanumeric data elements differ in that the fingerprint for an alphanumeric data element shows the distribution of values based on the first character and provides additional information.
• Standard sampling - Displays information for each data element value including the number of times each value occurred and the percentage that value represents in the total population.
• Min/Max calculation - Displays the minimum and maximum values for the data element.

Known Restriction: Data Express does not support sampling for binary data.

For more information about the Sampling Options feature, review the Simple Sampling Tutorial in this guide.