Data & AI Engineering

Map raw security logs to OCSF in the Databricks lakehouse silver layer to end schema drift, cut SIEM ingest cost and speed threat hunting.

New Databricks workspaces lose Hive metastore access from 30 September 2026, while existing ones keep it. Here is how to plan the Unity Catalog migration, pick the right tool per table, and avoid the breaks.

Policy binders do not stop bad data. See how governance coded into a Databricks lakehouse keeps AI pipelines and outputs trustworthy.

Databricks Lakewatch is an agentic SIEM that runs on the lakehouse, built on OCSF and Unity Catalog. Here is what it changes for security data, and what it does not.

Bronze, silver, and gold are process control for your Databricks lakehouse. Here is how layered data engineering makes pipelines AI-ready.

Auditors do not want a diagram, they want evidence. Here is how to build data lineage on a governed lakehouse that answers where regulated data went, and how to close the gaps where lineage breaks.

A repeatable LakeFlow migration method for Databricks: baseline pipelines, rebuild declaratively with DLT, govern it with Unity Catalog.

Your NetSuite AR aging report is a stock, not a flow. Extract four tables and freeze period-end snapshots in a Databricks lakehouse.

Cut Databricks DBU spend without slowing pipelines: cluster policy, incremental medallion design, Unity Catalog attribution and FinOps.