Data Factory
25 TopicsDiscover the Future of Data Engineering with Microsoft Fabric for Technical Students & Entrepreneurs
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. This makes it an ideal platform for technical students and entrepreneurial developers looking to streamline their data engineering and analytics workflows.6.1KViews4likes1CommentContinuous integration and deployment using Data Factory
https://azure.microsoft.com/en-us/services/data-factory/ (ADF) visual tools public preview was https://azure.microsoft.com/en-us/blog/adf-v2-visual-tools-enabled-in-public-preview/ on Jan 16, 2018. With visual tools, you can iteratively build, debug, deploy, operationalize and monitor your big data pipelines. Now, you can follow industry leading best practices to do continuous integration and deployment for your ETL/ELT (extract, transform/load, load/transform) workflows to multiple environments (Dev, Test, PROD etc.). Essentially, you can incorporate the practice of testing for your codebase changes and push the tested changes to a Test or Prod environment automatically. ADF visual interface now allows you to export any data factory as an https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-authoring-templates (Azure Resource Manager) template. You can click the ‘Export ARM template’ to export the template corresponding to a factory. Read more about it in the https://azure.microsoft.com/en-us/blog/continuous-integration-and-deployment-using-data-factory/.1.1KViews1like0Comments