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In my session I talk about using Azure Data Factory ADF in production — inspired by my own lessons learnt with the cloud technology over the years. Well, as with most community events an hour never feels long enough to share everything. Hopefully you agree and we can make a few assumptions in understanding. For me these are:. Firstly, the grandparent, the most senior level of our ADF pipelines. In our grandparent pipeline my approach would be to build and consider two main operations:.
Once you've created and published a pipeline in Azure Data Factory, you can associate it with a trigger or manually kick off an ad hoc run. You can monitor all of your pipeline runs natively in the Azure Data Factory user experience. By default, all data factory runs are displayed in the browser's local time zone.
It is based on a lab environment, and includes some observations. Check it out. Other components and hosts in BizTalk Server have specific roles when integrating disparate business applications, such as receiving, processing, or routing messages. The database computer captures this work, and persists it to disk.