This repository contains numerous code samples and artifacts on how to apply DevOps principles to data pipelines built according to the Modern Data Warehouse (MDW) architectural pattern on Microsoft Azure.

The samples are either focused on a single azure service or showcases an end to end data pipeline solution built according to the MDW pattern. Each sample contains code and artifacts relating to:

• Build and Release Pipelines (CI/CD)
• Testing
• Observability / Monitoring

• Parking Sensor Solution - This demonstrates batch, end-to-end data pipeline following the MDW architecture, along with a corresponding CI/CD process. See here for the presentation which includes a detailed walk-through of the solution.
  • Technology stack: Azure DevOps, Azure Data Factory, Azure Databricks, Azure Synapse and ADLS Gen2.
• Temperature Events Solution - This demonstrate a high-scale event-driven data pipeline with a focus on how to implement Observability and Load Testing.
  • Technology stack: Azure DevOps, Azure Functions, Terraform, Application Insights, Azure Eventhubs

• Azure SQL
• Data Factory

• Azure Databricks
• Stream Analytics
• Azure Synapse (formerly SQLDW)
• CosmosDB

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.