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batch_bender

I’m trying to create a triggered Lakebase synced table from a SDP-created materialized view.The source MV uses Automatic CDF: row tracking is enabled and legacy CDF (delta.enableChangeDataFeed) is disabled. The Automatic CDF workspace preview is enab...

batch_bender

We have six years of Parquet files organised under yyyy/mm/dd/, with around 100 table files in each daily folder. We want to process these 100 tables using Auto Loader in a Declarative Pipeline with the AUTO CDC API.If each table reads the same root ...

batch_bender · 05-24-2026

We’re evaluating a multi-tenant Databricks architecture and considering Liquid Clustering on shared Delta tables. Our concern is that tenant SLAs require data separation for audit/compliance purposes. I’m trying to understand whether Liquid Clusterin...

batch_bender · 01-19-2026

I am deciding between create_auto_cdc_from_snapshot_flow() and create_auto_cdc_flow() in a pipeline.My source is a daily full snapshot table:No operation column (no insert/update/delete flags)Order can be derived from snapshot_date (sequence by)Rows ...

batch_bender · 05-24-2026

If partitioning by tenant is considered acceptable for our audit/SLA requirements, would Liquid Clustering be viewed differently, or are they both effectively storage-layout optimizations rather than true isolation boundaries?

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Lakebase synced table doesn’t recognize Auto CDF on a SDP materialized view

Folder structure for Autoloader and Declarative Pipelines

Does liquid clustering preserve auditable tenant separation in a shared Delta table architecture?

create_auto_cdc_from_snapshot_flow vs create_auto_cdc_flow – when is snapshot CDC actually worth it?

Re: Does liquid clustering preserve auditable tenant separation in a shared Delta table architecture