Code Project Overview
This open source code project delivers a simple metadata driven processing framework for Azure Data Factory (ADF). The framework is delivered by coupling ADF with an Azure SQL Database that houses execution stage and pipeline information that is later called using an Azure Functions App. The parent/child metadata structure firstly allows stages of dependencies to be executed in sequence. Then secondly, all pipelines within a stage to be executed in parallel offering scaled out control flows where no inter-dependencies exist for a given stage.
The framework is designed to integrate with any existing Data Factory solution by making the lowest level executor a stand alone processing pipeline that is wrapped in a higher level of controlled (sequential) dependencies. This level of abstraction means operationally nothing about the monitoring of orchestration processes is hidden in multiple levels of dynamic activity calls. Instead, everything from the processing pipeline doing the work can be inspected using out-of-the-box ADF features.
This framework can also be used in any Azure Tenant and allow the creation of complex control flows across multiple Data Factory resources by connecting Service Principal details to targeted Subscriptions > Resource Groups > Data Factory's and Pipelines, this offers very granular administration over data processing components in a given environment.
Resources and Content
|1.2||Execution Restartability, plus:
||ADF.procfwk v1.2 - Execution Restartability|
|1.1||Service Principal Handling via Metadata, plus:
||ADF.procfwk v1.1 - Service Principal Handling via Metadata|
|1.0||Simple framework designed and base compontents built.
||Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines|