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Hi there, this is a follow-up from a discussion I started last monthSolved: Re: DLT Compute: "Ephemeral" Job Compute vs. All-p... - Databricks Community - 71661Based on what was discussed, I understand that it's not possible to use "All Purpose Clust...
@ChristianRRL regarding on why DLT doesn't allow you to use all-purpose clusters:
1. The DLT runtime is derived from the shared compute DBR, it's not the same runtime and has different features than the common all-purpose runtime. A DLT pipeline is n...
Hi there,I'm curious if anyone is able to definitively help me answer how DLT Job Clusters operate/run.For example, the following is my baseline understanding of DLT Job Clusters. If I run a Triggered DLT Pipeline (e.g. daily) the job cluster takes m...
Ideally one would expect clusters used for DLT pipeline to terminate after the pipeline execution has finished. However, while running in `development` environment, you'll notice it doesn't terminate on its own, whereas in `production` it terminates ...
I'm trying to figure out what's the best way to "de-duplicate" data via DLT. Currently, my only leads are:Manage data quality with Delta Live Tables | Databricks on AWSVia "Drop invalid records"Constraints on Databricks | Databricks on AWSVia "pre-de...
Hey @ChristianRRL ,Based on my understanding you want to de-duplicate your data during your DLT pipeline processing unfortunately I was not able to find a solution to this when I ran into this problem due to the native feature limitations.Limitations...
Super basic question. For DLT pipelines I see there's an option to add multiple "Paths". Is it generally best practice to completely separate `bronze` from `silver` notebooks? Or is it more recommended to bundle both raw `bronze` and clean `silver` d...
Hi there, I'm wondering if someone can help me understand what compute resources DLT uses? It's not clear to me at all if it uses the last compute cluster I had been working on, or something else entirely.Can someone please help clarify this?
Well, one thing they emphasize in the 'Adavanced Data Engineer' Training is that job-clusters will terminate within 5 minutes after a job is completed. So this could be in support of your theory to lower costs. I think job-cluster are actually design...
