Every remaining Azure Databricks Standard workspace was upgraded to Premium on 1 October 2026. Here is which workloads now cost more, what Premium adds, and five moves that pull the bill back down.
Breach-notice clocks, automated-decision rules and AI agents all assume you know where your data is. Data silos break that assumption; one governed lakehouse inventory fixes it.
PCI DSS v4.0.1 expects automated audit log review. Here is how to build it on a lakehouse, from ingestion and OCSF normalisation to daily detection and the evidence table your QSA will sample.
A side-by-side reference for audit log retention across PCI DSS, SEC rules, HIPAA and the new AI laws, with the legal text kept apart from the engineering recommendation and one lakehouse design that covers them all.
Azure Databricks and Microsoft Fabric overlap more every quarter. This comparison covers pricing models, throttling, governance and the mirrored-catalog pattern that lets a mid-market team use both without paying for engineering twice.
Replace the legacy EDW with a governed Databricks lakehouse. A staged, low-drama exit path that cuts cost, fixes pipelines, ships AI.
Databricks Workflows is now Lakeflow Jobs, and the old Workflows vs Airflow question has a third contender in Dagster. Here is how the three compare for a lakehouse team, when a hybrid makes sense, and the red flags that say fix the process before you pick a tool.
Security tool sprawl is a data engineering problem. Here is how a Databricks lakehouse gold layer replaces point tools and legacy SIEMs.
Map raw security logs to OCSF in the Databricks lakehouse silver layer to end schema drift, cut SIEM ingest cost and speed threat hunting.