Quality Check

Overview

This is a capability available in the Data Vault module that allows Users to review the quality of a data set before registering its fields and using them as data elements in the downstream processes. Users can define a quality check procedure, save it and simulate it at will.

The quality checks procedures generate profiling metrics such as Descriptive Statistics, Outliers Count, Missing Values, Invalid Entries, Frequent Values, along with the results of custom quality check rules.

Once the User has reviewed the simulation results, they can proceed to make any necessary correction to the raw data set through the ingestion process.

All registered quality check procedures are listed in the main page of the Quality Check module. Refer to Registries to understand the content of the dictionary.

Registering a quality Check procedure

Please refer to the section Registering a Quality Check Procedure for more details

Modifying a quality Check procedure

Please refer to the section Modifying Objects for more details

Run simulation

Please refer to the section Running Jobs for more details