Snowflake Testing Automation

DataOps suite enables users to perform end-to-end  testing automation of Snowflake projects

Snowflake Testing Automation

Benefits of Automating Snowflake Testing

Automating Snowflake testing streamlines data quality verification, enhances operational efficiency, and reduces the risk of errors in data warehousing processes.

Improve Reliability of data in Snowflake

Bloor states that 64% of data migration issues arise from inadequate data mapping

Reduce Cost of Migration to Snowflake

Gartner reports that 83% of data migration projects fail or exceed budgets and schedules.

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Empower users to make better decisions

Bloor Group reports that more than 80% of data migration projects run over time or over budget

Key Features

Automate Testing of Data Migration to Snowflake

Validate Schema Conversion to Snowflake

Ensure that the Data Mapping is correct and validate Schema conversion prior to migrating data to Snowflake.

Test Data Integrity and Completeness after Data Migration

Verify that all required data has been migrated by comparing data counts, data profiles & records between the Source and Snowflake.

Regression and Stress Test Reports on Snowflake

Compare the functionality and performance of reports pre and post migration to ensure that the expectations are being met.

Automate Testing of Data Migration to Snowflake
Snowflake ETL Testing Automation Tool

Automate Snowflake ELT Testing

Automate Snowflake Transformation Testing

Ensure that the Snowflake ETL and ELT pipelines are working as expected by automating the Transformation testing between different layers of your Medallion Architecture.

Test Snowflake Data Ingestion

Ensure data ingested into Snowflake is meeting the Data Quality requirements and verify that the data is consistent with source data.

Automate Snowflake Data Quality Testing

Automate Data Validation in Snowflake by measuring Data Quality using a combination of Data Quality rules and Data Observability.

Automate Snowflake Report Testing

Functional Testing of Reports on Snowflake

Build trust in reports built on Snowflake Data Warehouse by comparing the data in the reports (eg. Power BI, Tableau) with data in Snowflake

Snowflake Performance Testing

Simulate concurrent user load to test the performance of the reports and Snowflake Data Warehouse and ensure that the SLAs are being met

End-to-end testing of Snowflake

Perform end-to-end testing of Snowflake from the point of ingestion to the point of consumption

Snowflake Report Testing Automation

Case Study

Oracle to Snowflake ETL Validation

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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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