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Code samples showcasing how to apply DevOps concepts to common data engineering patterns and architectures leveraging different Microsoft data platform technologies.

DataOps

This repository contains numerous code samples and artifacts on how to apply DevOps principles to common data engineering patterns and architectures utilizing Microsoft Data Platform technologies.

The samples are either focused on a single azure service (Single Tech Samples) or showcases an end to end data pipeline solution as a reference implementation (End to End Samples). Each sample contains code and artifacts relating one or more of the following capabilities:

  • Infrastructure as Code (IaC)
  • Build and Release Pipelines (CI/CD)
  • Testing
  • Observability / Monitoring

Single Technology Samples

Technology Samples
Microsoft Fabric ▪️ CI/CD for Microsoft Fabric
▪️ Feature engineering on Microsoft Fabric
Azure SQL database ▪️ CI/CD for Azure SQL database
Azure Databricks ▪️ CI/CD for Azure Databricks
Azure Data Factory ▪️ CI/CD for ADF with Auto publish
▪️ Data pre-processing using Azure Batch
Azure Stream Analytics ▪️ CI/CD for Azure Stream Analytics

End to End samples

DataOps for Medallion with Azure Data Factory and Azure Databricks

This sample demonstrates batch, end-to-end data pipeline utilizing Azure Data Factory and Azure Databricks built according to the Medallion architecture, along with a corresponding CI/CD process, Observability and automated testing.

Medallion with Azure Data Factory and Azure Databricks

DataOps for Medallion with Microsoft Fabric

  • Coming soon.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.