Auto Loader vs COPY INTO in Databricks: A Decision Guide for Data Engineers

In modern lakehouse pipelines, one of the first ingestion decisions data engineers face is whether to use Auto Loader or COPY INTO. Both can load files incrementally into Delta tables, but they solve very different operational problems. Choosing the wrong one can impact scalability, cost, reliability, and maintenance overhead.
A Field Study: Databricks Genie vs Microsoft Fabric

Recently I have been leading an assessment for a global industrial manufacturer comparing Databricks Genie against an already mature Microsoft Power BI/Fabric environment. Genie feels like an up-and-coming platform gaining significant momentum alongside more established incumbents.
Lakehouse Accelerator – Wisconsin Databricks User Group

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.
Data Engineering Panel – Wisconsin Databricks User Group
Building a Scalable Geospatial Heatmap App on Databricks

A client came to us with thousands of services spread across every ZIP code in the United States. They wanted to see what areas had plenty of coverage and what areas were underserved. Static tables and dashboards weren’t good enough. They wanted something fast, interactive, and geographic that would allow them to explore where their […]
Data Scientist Panel – WI Databricks User Group
Wisconsin Databricks User Groups: Lakebase Operational OLTP Database

Building a Supplier Performance Scorecard with Databricks AI/BI

Supplier performance measurement is critical for a resilient supply chain. With Databricks AI/BI, we can build a scorecard that measures supplier quality and delivery performance, powered by four key KPIs: OTD, OTS, Lead Time Adherence, and Defect Rate.
The Data Kingdom: Who’s the Lion King?

Earlier this year, I had the incredible opportunity to embark on a once-in-a-lifetime African safari with my girlfriend and close friends.