Most importantly, these innovations include: PyTorch 2.0 brings you the same popular AI framework you've come to love, while adding many innovations and improvements that warrant the name PyTorch 2.0. I'm so excited to share that we've released PyTorch 2.0. #Databricks #eventdriven #cloudstorage #externallocation #ADLS2 #workload #workflow #datascience #dataengineering #technology #innovation #productivity #efficiency #costsavings #cloudcomputing Have you tried out this new feature yet? Let me know in the comments below! This feature is definitely worth checking out, especially if you are looking to improve your workflow and save time and resources. To use this feature, you need to follow some simple steps, which include adding an external location for your ADLS2 container, ensuring that the storage credentials you use have Storage Blob Data Contributor permissions for that container, making sure that the account you use to run your workload has at least read files permission for the external location, writing a notebook that loads cloud files from the external location, and setting a file arrival trigger for your workflow and specifying the exact external location as the source.īy following these steps, you can easily create and run event-driven workloads on Databricks. This makes the entire process more efficient and effective for you and your team. With this new feature, you can save costs and resources by triggering your Databricks jobs only when new files arrive in your cloud storage instead of mounting it as DBFS and polling it periodically. Hey everyone! Databricks have recently introduced an amazing feature that supports event-driven workloads, especially for loading cloud files from external locations.
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