Core Components

Owl offers a full DQ suite to cover the unique challenges of each dataset.

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9 Dimensions of DQ

1. Behavior - Metadata monitoring

2. Rules - SQL-based rules engine

3. Outliers - Anomalous records, clustering, time-series, categorical

4. Pattern - Classification, cross-column & parent/child anomalies

5. Source - Source to target reconciliation

6. Record - Deltas for a given column(s)

7. Schema - When columns are added or dropped

8. Dupes - Fuzzy matching, Identify similar but not exact entries

9. Shapes - Typos and Formatting Anomalies

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