Designing Scalable Intelligent Document Processing Platforms – WI Databricks User Group
Databricks Data + AI Summit 2026 Recap – WI Databricks User Group
DELETE Doesn’t Delete Data: Understanding DELETE, VACUUM, and Time Travel in Delta Lake
I spent the first 8 years of my career in domains full of sensitive PII, PHI, and HIPAA regulations. In 2026 I was brought into a Xorbix team that had been deliberate in its AI adoption for years before my arrival.  As I’ve worked to catch up with the rest of the team, some of the clearest lessons have come from our Pull Request (PR) review process.
Databricks Logs Explained: Where to Look When Things Break From Driver to Delta
A Databricks job fails… or worse, it runs but performs poorly. You open the workspace and face a familiar question: Where do you start? Driver logs? Spark UI? Executor logs? Query history? Without a clear approach, it’s easy to jump between tabs and waste time chasing symptoms instead of root causes.
Lakehouse Accelerator – Wisconsin Databricks User Group
Data Engineering Panel – Wisconsin Databricks User Group
Data Scientist Panel – WI Databricks User Group
Wisconsin Databricks User Groups: Lakebase Operational OLTP Database
Wisconsin Databricks User Group Meetup – AI Agents in Databricks
Spark Connector for Microsoft Fabric DW/SQL Endpoint: Enterprise-Grade Security Theater
Fine-grained access control is a fundamental requirement for data scientists and engineers working with sensitive data.