Fortune 100 Financial Services Company Automates Snowflake Data Pipeline Validation

Fortune 100 Financial Services Company automate Snowflake Data Pipeline
A Fortune 100 Financial Services company embarked on a large-scale modernization project to migrate their data warehouse to Snowflake.

A Fortune 100 Financial Services company embarked on a large-scale modernization project to migrate their data warehouse to Snowflake. They faced challenges in automating the testing process for thousands of tables and ensuring data integrity across multiple environments. Discover how they overcame these challenges with Datagaps‘ comprehensive solutions.  

What’s inside 

  • Data Validation: Ensure data from various sources is correctly loaded into Snowflake’s Bronze layer.  
  • Scalability: Handle large datasets with thousands of tables and columns.  
  • Automation: Automate the testing of data transformations across different architecture layers.  
  • Test Case Generation: Programmatically generates test cases for extensive data.  

Download Now to streamline your data migration and ensure data integrity. 

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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.
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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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