Parametrization in Azure Data Factory is essential to achieve good design and reusability as well as low cost of solution maintenance. Using parameters also speeds up implementation of new features in your pipelines.
Azure Data Factory is essential service in all data related activities in Azure. It is flexible and powerful Platform as a Service offering with multitude of connectors and inetgration capabilities. It is a heart of ETL in Azure.
Data factory is currently go-to service for data load and transformation processes in Azure. In this article a common scenario of refreshing models in Azure Analysis Services will be implemented using ADF components including a comparison with the same process using Azure Logic Apps.