The Azure Data Factory service is a fully managed service for composing data storage, processing, and movement services into streamlined, scalable, and reliable data production pipelines.
The Aggregate transformation in Azure Data Factory defines aggregations of columns in your data streams. Using the Expression Builder, you can define different types of… Read More »Aggregate Transformation in Azure Data Factory
Filter activity is used in a pipeline to apply a filter expression to an input array, it filters an input data so that subsequent activities… Read More »Create Filter Activity in Azure Data Factory
Delete Activity in Azure Data Factory allow us to delete files or folders from on-premises storage stores or cloud storage stores. You can use this… Read More »Delete files from folder using delete activity
Schedule trigger allows you to schedule a pipeline to run periodically (hourly, minutely, daily, weekly and monthly). When creating a schedule trigger, you can specify… Read More »Create a Schedule Trigger in azure data factory
Implementing a Pivot Transformation Using Data Flow Activity – Azure Data Factory Using Azure Data Factory you can create a data flow for Pivot transformation.… Read More »Azure Data Factory Pivot Transformation Using Data Flow
According to Microsfot, Azure Data Factory is Azure’s cloud ETL service for scale-out serverless data integration and data transformation. It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management.
Create Azure Data Factory
The Azure Data Factory service is a fully managed service for composing data storage, processing, and movement services into streamlined, scalable, and reliable data production pipelines