9 августа 2018 г.
GitHub is a development platform that allows you to host and review code, manage projects and build software alongside millions of other developers from open source to business. Azure Data Factory (…
2 июля 2018 г.
Data Integration solutions can be complex with many moving parts involving complex data factories with multiple pipelines. Monitoring provides data to ensure that your data factory pipelines stay up…
27 июня 2018 г.
Today, we are introducing new capabilities in Azure that make it easier to deliver, build, and manage powerful analytics and AI solutions.
27 июня 2018 г.
Data is vital to every app and experience we build today. With increasing amount of data, organizations do not want to be tied down by increasing infrastructural costs that come with it.
27 июня 2018 г.
Microsoft is excited to announce the general availability of new Azure Data Factory (ADF) features that will make data integration in the cloud easier than ever before with a browser-based drag and drop user experience.
21 июня 2018 г.
Event driven architecture (EDA) is a common data integration pattern that involves production, detection, consumption and reaction to events. Today, we are announcing the support for event based triggers in your Azure Data Factory (ADF) pipelines.
19 июня 2018 г.
Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure.
14 мая 2018 г.
With Azure Data Factory (ADF) visual tools, we listened to your feedback and enabled a rich, interactive visual authoring and monitoring experience. It allows you to iteratively create, configure, test, deploy and monitor data integration pipelines without any friction.
16 апреля 2018 г.
There is increasingly a need among users to develop and debug their Extract Transform/Load (ETL) and Extract Load/Transform (ELT) workflows iteratively. Now, Azure Data Factory (ADF) visual tools allow you to do iterative development and debugging.
9 апреля 2018 г.
Azure Data Factory (ADF) visual tools public preview was announced on January 16, 2018. With visual tools, you can iteratively build, debug, deploy, operationalize and monitor your big data pipelines.