Data Observation Toolkit (DOT)

Data Observation Toolkit (DOT) can be used to monitor data in order to flag problems with data integrity and scenarios that might need attention. Typical tests include checks for missing/duplicate and inconsistent data, outliers, and domain-specific signals such as a missed follow-up medical treatment after initial diagnosis.

DOT includes a simple user interface for configuring the powerful dbt and Great Expectations libraries, as well as a database for storing and classifying data monitoring results.