A customer faced challenges managing numerous asset-related datasets requiring frequent transformations and validations. By implementing Datagaps‘ DataOps Suite, they automated the validation of test suites, integrated with Snowflake and Azure pipelines, and improved data quality, leading to significant operational benefits.
What’s inside
- Data Quality Monitoring: Apply data quality rules to ensure overall dataset integrity.
- Integration with Snowflake and Azure: Seamlessly integrate with existing pipelines.
- Power BI Report Validation: Ensure reports’ accuracy, security, and performance.
- ETL Transformation and Logic Validation: Validate transformation logic changes to prevent unintended consequences.
- Benefits Realized: Achieve significant reductions in manual testing time and improved data validation accuracy.