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Resolved! DLT Compute: "Ephemeral" Job Compute vs. All-purpose compute 2.0 ... WHY?
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...
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@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...
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Materialized Views Still In Public Preview?
The title is self-explanatory, but I'm curious if anyone has any inclination as to when Materialized Views will enter General Availability? I'm surprised it's not already in GA considering (A) it's been a year or more since Databricks originally anno...
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Yes, if the documentation states it, it's still in preview.
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Resolved! DLT Job Clusters: Continuous vs Triggered Cluster Start Times
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...
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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 ...
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Purpose of DLT Table table_properties > quality:medallion
Hi there, silly question here but can anyone help me understand what practical purpose does labelling the table_properties with "quality":"<specific_medallion>"? For example: @Dlt.table( comment="Bronze live streaming table for Test data", name="...
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Hi @ChristianRRL Thank you for reaching out. Labeling table properties with "quality": "<specific_medallion>" (like bronze, silver, gold) in DLT serves a practical purpose in a data architecture pattern known as the "Medallion Architecture." This ar...
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DLT Primary Key Deduplication: Expectations vs. Constraints vs. Other?
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...
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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...
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