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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 microsoft service (Single-Technology Samples) or showcases an end-to-end data pipeline solution as a reference implementation (End-to-End Samples). Each sample contains code and artifacts related to 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. Please see our Contributing guide.