Concept
Direct Lake is a storage mode for Power BI semantic models in Microsoft Fabric that reads Delta tables directly from OneLake instead of importing a copy or querying the source on every click.
| Type | Concept |
|---|---|
| Documentation | learn.microsoft.com/en-us/power-bi/enterprise/directlake-overview |
2025-12-19 · Video on YouTube
You think Power BI performance problems are a dashboard issue? Think again — the real problem is hiding upstream. In this episode, we break down Microsoft Fabric as a living data ecosystem and explain why Power BI only thrives when the entire architecture…
2025-12-30 · Video on YouTube
Most organizations think their data problems are about who can see reports. In reality, the bigger risk is what those reports mean today—and how quietly that meaning changes tomorrow. Your transcript argues that Microsoft Fabric doesn’t create chaos by being…
2025-11-03 · Video on YouTube
Microsoft Fabric fundamentally changes how Power BI handles data. With OneLake and Direct Lake, Power BI can now query lakehouse tables directly with performance similar to Import mode — without creating duplicate copies or maintaining complex refresh cycles.…
2026-10-31
Power BI used to force a choice between fast but stale import reports and fresh but slow DirectQuery. This episode explains Direct Lake in Microsoft Fabric for analysts and admins who want both. You learn how framing works, which of the two flavours to pick…
2026-10-22 · Video on YouTube
Learn what a Power BI semantic model really is. Master tables, relationships, star schemas, storage modes like Direct Lake, and reuse in this guide. You think your Power BI problem is the chart, but the chart is the easy part. Every report you build is…
2025-12-06 · Video on YouTube
Your data platform isn’t a platform – it’s a staged illusion. In this episode, I break down why your “modern stack” of Power BI, ad hoc pipelines, shadow CSVs and seven conflicting dashboards is really entropy in disguise. We dissect the real reason Microsoft…
2025-11-03 · Video on YouTube
Your Fabric and Power Platform workloads aren’t slow because of Spark or DAX—they’re slow because your data lives far from your compute. Managed storage adds network hops, caps IOPS, and taxes every read/write with latency. The fix isn’t “more nodes”; it’s…
2025-11-03 · Video on YouTube
Most Microsoft Fabric teams are bleeding money because they treat Dataflows Gen2 like old Power BI ETL. In Fabric, compute—not storage—is the meter, so every redundant refresh spins up clusters, reloads the same sources, and multiplies cost. The fix is…
Direct Lake lets Power BI query lakehouse tables in OneLake directly with performance similar to Import mode. It avoids duplicate copies of data and complex refresh cycles. · From the episode: Speed Power BI with OneLake and Direct Lake
Dataflows Gen2 feed a lakehouse, pipelines keep it updated, a semantic model sits on top and a Direct Lake report reads it. Each step has a clear role. · From the episode: Speed Power BI with OneLake and Direct Lake
They are storage modes that decide how fast the numbers load and how fresh they stay. The episode explains Import, DirectQuery and Direct Lake as choices in the semantic model, which holds the tables, links and calculations behind your reports. · From the episode: Power BI Semantic Models - Simply Explained
The episode says gold data is delivered through Direct Lake semantic models. This connects curated lakehouse data on OneLake to reporting without creating extra copies of the data. · From the episode: Eliminate Data Silos with Microsoft Fabric and…
The episode names Spark shuffles, Dataflows Gen2 staging, Direct Lake caches and AI model weights. These workloads need fast temporary data placed right next to the compute that reads and writes it. · From the episode: Speed Fabric and AKS Workloads with Local NVMe…
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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