Databricks Community

valiro21 · 01-27-2026

Hi everyone,I’m looking for advice and best practices for running monthly analytics on large time-series data in Databricks, where the source data can be updated retroactively.Data modelWe have a Delta table with time-series measurements:- customer_i...

valiro21 · 04-02-2023

Hello Databricks community,I'm working on a pipeline and would like to implement a common use case using Delta Live Tables. The pipeline should include the following steps:Incrementally load data from Table A as a batch.If the pipeline has previously...

valiro21 · 08-08-2022

Is there an any example that contains at least one widget that works with the Databricks SQL Create Dashboard API? I tried the following simple dashboard:{ "name": "Delta View", "dashboard_filters_enabled": false, "widgets": [ { ...

valiro21

So if I understand correctly, the general recommendation for this type of workload is to leverage the new Spark 4 pipelines with Materialized Views for incremental updates, while being mindful of the constraints around logic changes, full refresh beh...

valiro21 · 02-19-2026

Thank you for the detailed explanation, this clarifies a lot.I still have concerns around the APPEND ONCE FLOW pattern, especially in the context of dependent MVs and CDC propagation.Let me outline two scenarios to explain the issue.Scenario 1 – No A...

valiro21 · 02-19-2026

Thank you for the previous clarifications regarding incremental refresh and fallback behavior. I have a few follow-up questions to better understand how Materialized Views behave in practice.1. Full refresh semanticsDoes a full refresh of a Materiali...

valiro21 · 02-13-2026

Thanks for the clarification. From what I understand, this is essentially approach 2, but instead of implementing custom incremental logic, we rely on the Materialized View engine to detect which groups changed and recompute only those.To make it con...

valiro21 · 04-19-2023

Some ways to do this is if you build your own checkpointing logic and load data based on your own updated_at or similar field / delta versions and readChangeFeed, although the latter I did not test yet. The checkpointing logic should be added to dlt...

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Incremental monthly UDF analytics on large time-series: full reprocess vs change-driven recompute

Delta Live Tables Incremental Batch Loads & Failure Recovery

docs.databricks.com

Re: Incremental monthly UDF analytics on large time-series: full reprocess vs change-driven recomput

Re: Incremental monthly UDF analytics on large time-series: full reprocess vs change-driven recomput

Re: Incremental monthly UDF analytics on large time-series: full reprocess vs change-driven recomput

Re: Incremental monthly UDF analytics on large time-series: full reprocess vs change-driven recomput

Re: Delta Live Tables Incremental Batch Loads & Failure Recovery