Data & AI Engineering

A copy-ready data governance policy template in nine sections, with clause wording you can paste and the Unity Catalog control and evidence behind every clause.

A data governance framework sized for a 400-person company: who owns what, which decisions need a forum, which Unity Catalog controls enforce them, and how to measure whether governance is working.

A build order for Unity Catalog attribute-based access control: classify the data, define governed tags, write row filter and column mask policies, and prove them with a test that must fail.

Where native Unity Catalog lineage ends on a Databricks lakehouse, where external lineage, OpenLineage and third-party catalogs pick up, and the selection criteria that decide which you need.

The HIPAA Security Rule update proposed in January 2025 is not final. Here is what the NPRM would change, what covered entities owe under the current rule today, and the data work that serves both.

A reference Azure Databricks architecture sized for mid-market teams, lane by lane, with the Azure services and Unity Catalog decisions that are expensive to change later.

A Databricks implementation has two price tags: the services to build the lakehouse and the platform consumption to run it. Here is what moves each one, scope by scope.

Databricks system tables turn the lakehouse bill into data you can query. This guide covers the billing tables, tag design, budgets and a chargeback model finance will accept.

Detection engineering is usually taught as a SOC skill. On a lakehouse it becomes a data engineering discipline, with versioned rules, backtests on real history and measured alert quality.