Practical articles on BI migrations, Fabric architecture, Power BI governance and data stack modernisation — from real project experience.
Microsoft is forcing P SKU → F SKU at your next EA renewal. The SKU mapping, the hidden costs Microsoft's docs bury, the F32 trap, and how to time the transition.
Read article →Lakehouse vs Warehouse, Direct Lake, RLS placement and capacity sizing — the Fabric decisions that matter, ranked by how hard they are to reverse.
Network, identity, workspace and data — how Fabric's security layers fit, and the RLS decision that turns a bug into a breach.
A phase-by-phase checklist for standing up Fabric the right way — prerequisites, architecture, performance, governance and go-live.
How the lakehouse pattern improves data access, reduces duplication and simplifies your analytics stack.
The four migration patterns, what to assess upfront, and where projects typically stall.
The practical DAX pattern for turning a recursive employee–manager table into a working org chart.