| Step | What Maya Did | Why It Added Quality | |------|---------------|----------------------| | | She added a Data Viewer to the first source component and captured a sample of 10 000 rows. | This gave her concrete evidence of the raw data’s quirks (null dates, duplicate IDs, locale‑specific number formats). | | 2. Make the cleansing explicit | For each transformation that previously used a Script Component, Maya replaced the inline C# logic with Built‑in Transformations (Derived Column, Lookup with “Redirect rows to error output”, and Conditional Split). She also turned on Data Type Preservation and set Fast Load options on the destination. | Built‑in components are version‑controlled, easier to debug, and provide built‑in error rows that can be routed to audit tables. | | 3. Add a quality checkpoint | She inserted a Row Count transformation after each major step and wrote the counts to a dbo.ETL_HealthLog table, together with a checksum (MD5) of the processed batch. | The log makes it possible to verify that every stage processed the exact number of rows expected and that no silent corruption occurred. |
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