An integrated development environment for Data Factory application development.
We are glad to announce the Visual Studio plugin for Azure Data Factory. With this release, customers can interactively author and deploy data pipelines using the rich Visual Studio interface.
Our goal is to simplify the Azure Data Factory authoring experience and remove on-boarding and deployment challenges. The Azure Data Factory plugin in Visual Studio improves productivity and efficiency for both new and advanced users with tailored experiences and rich tooling.
Features enabled in this milestone
Template based authoring: Select use-cased based templates, data movement templates or data processing templates to deploy an end-to-end data integration solution and get started hands-on quickly with Data Factory.
Integration with Solution Explorer for authoring and deploying Data Factory entities: Create & deploy pipelines and related entities as Visual Studio projects.
Integration with Diagram view for visual interaction while authoring: Visually author pipelines and datasets with aid from the Diagram view.
Integration with Server explorer for browsing and interaction with already deployed entities: Leverage the Server Explorer to browse already deployed data factories and corresponding entities. Import a deployed data factory or any entity (Pipeline, Linked Service, Datasets) into your project.
JSON editing with schema validation and rich intellisense: Efficiently configure and edit JSON documents of Data Factory entities with rich intellisense and schema validation
Data Factory Templates
Create data integration solution based on a template
‘Include sample data’ configures the solution with sample data enabling you to deploy the data integration workflow with minimal configuration and see it up and running quickly
Follow instructions, configure and create resources
Publish to the data factory
Empty Data Factory Project
Start with the empty canvas, create pipelines and related entities
Publish to the data factory
Add New data Factory entities (Pipelines, Linked Services, Datasets) from templates
Gesture: Right click and add
Open existing entities from the solution explorer in the Document (Canvas)
Gesture: select and double click
Reference Hive projects in the Data Factory solution
.hql files automatically uploaded to the Azure BlobStore location based on the activity configuration
Browse deployed data factories and corresponding entities o Gesture: Click Azure SDK and open Data Factory node
Open deployed entities
Gesture: Select and double click
Export to the project
Gesture: Select entity, right click, click ‘Export to Project’
Configure JSON files
Gesture for intellisense: hit space after the quote
View pipeline diagram
Gesture: Select pipeline from the solution explorer and open
Build the solution or the project to identify issues
Gesture: Right click on the project/solution, click ‘build’
Deploy the pipeline and related entities to a data factory
Gesture: Click ‘Publish’ on the tool bar to deploy to the selected data factory