Trust in Snowflake Data Vault for Asset Management

Snowflake Data Vault for Asset Management

A customer faced challenges managing numerous asset-related datasets requiring frequent transformations and validations. By implementing DatagapsDataOps 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.  

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Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
Products

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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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