Fabric Warehouse vs Lakehouse for Gold: when SQL is the product
Put analyst-facing Gold in a Warehouse when T-SQL, constraints, and BI tools are the contract. Keep Lakehouse when Spark and files are the contract.
Insights
BI news, workflows, and new technologies from the Yuzu press room.
Calculation groups that survive the next time-intelligence request
Replace copied YoY measures with one calculation group, isolate time intel from business measures, and keep field parameters from fighting SELECTEDMEASURE.
Dataflow Gen2 vs Fabric notebooks: pick the ETL lane before the lake fills up
Use Dataflow Gen2 for Power Query-shaped loads, notebooks for heavy transforms, and pipelines as the conductor — not three copies of the same job.
Power BI August 2026 update: GA date picker, Theme pane, and refresh you can actually control
Practical picks from the August 2026 Power BI wave: date picker GA, Fluent 2 themes, schema-vs-data refresh, Fabric Apps Read permission, and Direct Lake previews worth a pilot.
Power BI incremental refresh: partition design and failure modes that stick
Set RangeStart/RangeEnd correctly, choose date partitions that match source logic, and detect silent full refreshes before Monday.
OneLake shortcuts for data integration: when to link, copy, or move
Fabric OneLake shortcuts reduce duplication — if you understand cross-workspace permissions, refresh order, and Direct Lake eligibility.
Self-service vs governed BI: a decision framework Power BI leaders can defend
Where to allow personal workspaces, when to require certified datasets, and how Fabric workspaces map to trust tiers without killing agility.
Power BI gateway hybrid architecture: on-prem sources without refresh roulette
Cluster design, credential patterns, and Fabric migration paths when SQL Server, files, and SAP still live behind a gateway.
Fabric capacity planning for BI workloads: SKU math without spreadsheet myths
Size Fabric F SKUs for refresh windows, concurrent users, and Direct Lake — plus signals from the Capacity Metrics app before you over-buy.
LLM-ready BI metadata: make your semantic models answer AI search correctly
How clear table descriptions, measure definitions, and llms.txt-style docs help Copilot, enterprise search, and AI crawlers surface the right BI answers.
Semantic model governance checklist for Power BI and Fabric teams
Certification, naming, ownership, and change control for semantic models — a checklist BI leads can run before promoting to production.
DAX measure performance tuning: fixes that survive the next model refresh
Identify slow DAX with Performance Analyzer and DAX Studio, fix iterator abuse, and document patterns your team can reuse across reports.
Microsoft Fabric medallion architecture: Bronze, Silver, Gold without the buzzword bingo
A practical Fabric lakehouse layout: what belongs in each medallion layer, naming conventions, and how Power BI semantic models should attach to Gold.
Power BI refresh failure monitoring: alerts that actually wake someone up
How to detect failed dataset refreshes before executives open blank dashboards: gateway logs, Fabric alerts, and a minimum viable runbook.
Real-time analytics in Fabric: Eventstream, KQL, and the BI layer
How streaming events land in Eventhouse, when to expose them in Power BI vs Real-Time dashboards, and governance for high-velocity data.
Power BI deployment pipelines in practice: what to automate first
Dev, Test, Prod rules of thumb, dataset rules vs report-only deploys, and where GitHub Actions still beat native pipeline buttons.
Semantic model RLS at scale: patterns that survive reorgs
Dynamic RLS with Entra groups, bridge tables for many-to-many, and testing RLS before every deployment pipeline stage.
Fabric workspace Git: branching patterns BI teams actually use
Trunk-based vs feature branches, what to commit from Fabric, and how to avoid merge conflicts on semantic models and reports.
Direct Lake vs Import mode: when each storage mode earns its keep
Direct Lake cuts duplicate data and refresh windows. Import still wins for complex DAX and small datasets. A practical decision guide for Fabric semantic models.
Microsoft Fabric Copilot: first workflows to automate
Practical Copilot patterns for BI teams: measure scaffolding, pipeline documentation, and natural-language queries without breaking governance.
Power BI small wins from the 2026 rollout wave
Org apps with audiences, date picker slicers, DAX user-defined functions, report landing pages, Copilot on mobile, and PBIR default-on: practical picks from April–June 2026 Power BI updates.
Fabric Apps vs Power BI Apps: web apps vs report bundles
Fabric Apps are read/write web experiences on your lakehouse data. Power BI Apps are curated read-only report collections. Here is how to choose.
Why BI teams should treat Git like product code
Semantic models, reports, and pipelines belong in version control with PR reviews, CI checks, and deployment pipelines, not in shared folders.