Understanding Databricks Query Performance: A Practical Guide to Query Profile Analysis
When a SQL query takes longer than expected, execution time is usually the first thing we notice. But knowing that a query took 30 seconds or three minutes does not tell us why it was slow. The query may have scanned too much data, moved data between partitions, created a large intermediate result during a […]
Introducing Visual Databricks App Builder (VDAB) – WI Databricks User Group
A Practical Guide to Intelligent Document Processing (IDP)
Every business has important information trapped in documents. It may arrive as an email attachment, invoice, claim form, contract, application, or scanned report. In many organizations, an employee still opens each item, finds the needed details, and types them into another system. Intelligent document processing, or IDP, is designed for that variability.
Designing Scalable Intelligent Document Processing Platforms – WI Databricks User Group
Databricks Data + AI Summit 2026 Recap – WI Databricks User Group
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
Data Engineering Panel – Wisconsin Databricks User Group
Advantages of N-Tier Architecture
Implementing a new software solution can be difficult to plan out and coordinate among your team. N‑Tier architecture (also called multi‑tier architecture) is a design approach that separates an application into distinct layers (“tiers”), where each tier has a clear responsibility and communicates with other tiers through well-defined interfaces.