Forum Discussion
binitafulpagare
1 month agoKudo Collector
Data Quality
Hi everyone, One challenge I keep thinking about is maintaining high data quality across enterprise data platforms. For those working with Microsoft Fabric: How do you validate incoming data? D...
- 27 days ago
Hi binitafulpagare ,
Below are the few points that may cover your questions.
- Organizations typically use a centralized data quality framework with reusable validation rules instead of creating separate rules for each pipeline.
- Common checks like schema validation, null checks, data type validation, duplicate checks, and reconciliation are standardized and reused across projects.
- A metadata-driven approach is commonly used, where rules are stored in a central repository/configuration table and applied dynamically.
- Business-specific validations are managed by individual data domains, while common standards are governed centrally.
- Data quality checks are integrated into pipeline monitoring, automated testing, and CI/CD processes to reduce manual maintenance.
- A hybrid governance model helps balance consistency and flexibility: central teams provide standards/frameworks, and domain teams manage specific business rules.
Thanks,
Chaithanya.
v-kathullac
27 days agoCommunity Support
Hi binitafulpagare ,
Below are the few points that may cover your questions.
- Organizations typically use a centralized data quality framework with reusable validation rules instead of creating separate rules for each pipeline.
- Common checks like schema validation, null checks, data type validation, duplicate checks, and reconciliation are standardized and reused across projects.
- A metadata-driven approach is commonly used, where rules are stored in a central repository/configuration table and applied dynamically.
- Business-specific validations are managed by individual data domains, while common standards are governed centrally.
- Data quality checks are integrated into pipeline monitoring, automated testing, and CI/CD processes to reduce manual maintenance.
- A hybrid governance model helps balance consistency and flexibility: central teams provide standards/frameworks, and domain teams manage specific business rules.
Thanks,
Chaithanya.