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Why do we need Azure Data Factory?

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The amount of data generated these days is huge and this data comes from different sources. When we move this particular data to the cloud, there are a few things needed to be taken care of.

Data can be in any form as it comes from different sources and these different sources will transfer or channelize the data in different ways and it can be in a different format. When we bring this data to the cloud or particular storage we need to make sure that this data is well managed. i.e you need to transform the data, delete unnecessary parts. As per moving the data is concerned, we need to make sure that data is picked from different sources and bring it at one common place then store it and if required we should transform into more meaningful.

This can be also done by a traditional data warehouse as well but there are certain disadvantages. Sometimes we are forced to go ahead and have custom applications that deal with all these processes individually which is time-consuming and integrating all these sources is a huge pain. we need to figure out a way to automate this process or create proper workflows.

Data factory helps to orchestrate this complete process into a more manageable or organizable manner.

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