Greg Baldini

At Argus PBI and Tabular Editor, Greg Baldini spends his career building high impact and high performance data solutions for customers. His experience spans industries and business domains. He feels silly writing his own biography in the third person. So I will just leave it with this: I like solving big, hairy data problems, and have spent a lot of time optimizing data models and solutions. Talk to me about anything. I love this stuff!

Sessions for 2026

Choosing the Right Storage Mode: Import, Direct Lake, DirectQuery & Hybrid

Import? Direct Lake? DirectQuery? Hybrid? Learn the real-world decision framework for choosing the right storage mode in Power BI and Fabric.

Deep Dive: Mastering Semantic Model Size & Refresh Efficiency in Fabric Capacities

Part 1 explores how semantic models consume memory and how to reduce their size using internal analysis techniques, VertiPaq insights, and advanced modeling patterns.

Deep Dive: Mastering Semantic Model Size & Refresh Efficiency in Fabric Capacities

Part 2 focuses on optimizing memory during refresh operations, covering incremental refresh, hybrid tables, custom partitioning, Direct Lake considerations, and the powerful but little-known refresh scale-out feature.

Semantic Bridge: Importing Databricks Metric Views into Tabular semantic models

Use Databricks Metric Views and Fabric Power BI semantic models interchangeably with the Semantic Bridge. This new feature from Tabular Editor allows you to seamlessly import the full structure of a Metric View into a Tabular semantic model.