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.
Data & AI Engineering
Unity Catalog ABAC in Practice: Tags, Policies, Masks
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.
Data Lineage Tools for a Lakehouse: Unity Catalog vs the Rest
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 Is Still Proposed
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.
Databricks vs BigQuery: cost, governance and fit for mid-market teams
Databricks vs BigQuery for mid-market teams: pricing models, Unity Catalog vs Dataplex, GenAI and RAG support, and which platform fits.
Azure Databricks Reference Architecture for Mid-Market Teams
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.
How Much Does a Databricks Implementation Cost? Ranges by Scope
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 Cost Governance With System Tables: Tags, Budgets, Chargeback
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.
Databricks vs Amazon Redshift: when each one wins
Databricks vs Redshift for AWS teams: compare cost models, lock-in, Zero-ETL, RAG readiness and migration effort before you commit.









