Working with ClickOps Oriented Services: Azure Data Factory Meets Sticky External Integration

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Azure Terraformer

Azure Terraformer

3 ай бұрын

EPISODE 97
Join us in this illuminating video where we delve into the complexities of working with Azure services that have (very useful) designer and operator layer capabilities. Today we'll be discussing Azure Data Factory (which is a really cool service in it's own right). In this episode I'll be sharing my thoughts on when to use Azure Data Factory's built-in capabilities (which are immense) and when to look for alternatives. I'll be tapping into my arsenal of metaphors and uncapping a metaphorically plastic can of play dough to discuss how I would approach integrating Azure Data Factory with a tricky REST API integration endpoint.
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Пікірлер: 4
@CarlintVeld
@CarlintVeld 3 ай бұрын
6:52 what logo is on the mug? 😅
@azure-terraformer
@azure-terraformer 3 ай бұрын
Microsoft Azure logo 😂
@CarlintVeld
@CarlintVeld 3 ай бұрын
Isn't databricks much more suitable when you have custom code for your etl?
@azure-terraformer
@azure-terraformer 3 ай бұрын
I honestly am not that familiar with databricks. In Eric's scenario, unless they were heavily invested with operators that were "used to Data factory" I would've recommended not using it at all. Because in his scenario he wasnt doing aggregation / transformation and the REST API had whacky data structures.
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