Azure Data Factory v2中的灾难恢复 [英] Disaster Recovery in Azure Data Factory v2

问题描述

您好，

我正在使用Azure Data Factory v2。我正在考虑在发生灾难时恢复整个数据工厂的方法。数据工厂v2的灾难恢复最佳实践是什么？我想知道ARM模板是否适用于这种情况，因为它包含
数据工厂元素的元数据。有没有办法备份数据工厂？

I am using Azure Data Factory v2. I am thinking of the way of restoring the whole data factory in case of disaster. What would be the best practice for disaster recovery for data factory v2? I am wondering if ARM templates works in such situation as it contains the metadata of the data factory elements. Is there any way of taking the backup of data factory?

寻找解决方案。

谢谢。

推荐答案

Hi ChetanSK，

目前，你不能还原Azure数据工厂。

我建议你投票给另一位Azure客户提交的想法。

https://feedback.azure.com/forums/270578-data-factory/suggestions/13061097-restore-a-data-factory

< span style ="font-size：10.0pt; line-height：107％; font-f amily：'Verdana'，sans-serif">您在这些论坛中分享的所有反馈都将由负责构建Azure的Microsoft工程团队进行监控和审核。

使用Azure Repos进行可视化创作Git集成支持源控制和协作，以便在数据工厂管道上工作。您可以将数据工厂与
关联Azure Repos Git组织存储库用于源代码管理，协作，版本控制等。有关更多详细信息，请参阅" Azure数据工厂中的可视化创作"。

Visual authoring with Azure Repos Git integration supports source control and collaboration for work on your data factory pipelines. You can associate a data factory with an Azure Repos Git organization repository for source control, collaboration, versioning, and so on. For more details, refer "Visual authoring in Azure Data Factory".

持续集成是一种自动且尽可能早地测试对代码库所做的每项更改的做法。持续交付遵循持续集成期间发生
的测试并推动更改有关详细信息，请参阅"持续集成和交付（ CI / CD）在Azure
数据工厂"。

Continuous Integration is the practice of testing each change done to your codebase automatically and as early as possible. Continuous Delivery follows the testing that happens during Continuous Integration and pushes changes to a staging or production system. For more details, refer "Continuous integration and delivery (CI/CD) in Azure Data Factory".

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