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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. |
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
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.
- Coming soon.
This project welcomes contributions and suggestions. Please see our Contributing guide.