Azure Synapse Testing Automation

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

Microsoft Azure Synpase Analytics

Benefits of Automating Azure Synapse Testing

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

Improve Reliability of data in Azure Synapse

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

Reduce Cost of Migration to Azure Synapse

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 Azure Synapse

Validate Schema Conversion to Azure Synapse

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

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 Azure Synapse.

Regression and Stress Test Reports on Azure Synapse

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

Automating Test of Data Migration to Azure Synapse
Azure Synapse ELT Testing Automation

Automate Azure Synapse ELT Testing

Automate Azure Synapse Transformation Testing

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

Test Data Ingestion to Azure Synapse

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

Automate Azure Synapse Data Quality Testing

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

Automate Azure Synapse Report Testing

Functional Testing of Reports on Azure Synapse

Build trust in reports built on Azure Synapse by comparing the data in the reports (eg. Power BI, Tableau) with data in Azure Synapse

Azure Synapse Performance Testing

Simulate concurrent user load to test performance of the reports and Azure Synapse Data Warehouse ensuring that the SLAs are being met

End-to-end testing of Azure Synapse

Perform end-to-end testing of Azure Synapse Data Warehouse from the point of ingestion to the point of consumption

Azure Synapse Report Testing Automation
Integrate with Azure DevOps & Azure Testing Plans

Integrate with Azure DevOps & Azure Test Plans

Run tests in Azure DevOps (ADO) Pipeline

Use custom ADO task to automatically trigger execution of tests in Azure Synapse Data Warehouse.

Integrate with Azure Test Plans

Map Azure Test Plans with automation tests in DataOps suite. Execute tests in DataOps suite and report test results in Azure Test Plans

Store Automation Tests in Azure Repos

Save automation tests from DataOps suite in Azure Repos enabling CI/CD integration

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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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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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