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.
Accelerating Manufacturing R&D with Databricks AI & Analytics in 2025
The increase in the amount of data generated in manufacturing means that traditional methods of data management are insufficient.
Databricks in Manufacturing: Transforming Data into Global Competitive Advantage
In this competitive manufacturing world, global manufacturers are looking for innovative data analytics solutions to gain a competitive advantage.