In today post we will talk about Azure Data Factory. But we will try a different approach. We will not look on what are the cores features of Azure Data Factory and when you should use it. Let's take a real life example, when Azure Data Factory can make our life easier. Scenario We have a system hosted on Azure that produce each day 100GB of audit data. There is a requirement from our client, to move this data on his own data center, where he will archive the information on tape. Classical implementation The use case is pretty simple, but in the same complex. To be able to offer a reliable communication between this two endpoints, you need to ensure that all content is copied on the client data center. For this purpose you could use different tools, base on what kind of storage you have (SQL, binary/raw data, documents and so on). In general, audit data can be found as raw data in binary files. In Azure you would use Blob Storage. Other types of storage like Az
DREAMER, CRAFTER, TECHNOLOGY ENTHUSIAST, SPEAKER, TRAINER, AZURE MVP, SOLVING HARD BUSINESS PROBLEMS WITH CUTTING-EDGE TECHNOLOGY