
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!
Greg Baldini's Sessions
Choosing the Right Storage Mode: Import, Direct Lake, DirectQuery & HybridSQLBits 2026
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 CapacitiesSQLBits 2026
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 CapacitiesSQLBits 2026
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.