SQL 分析エンドポイントはすべてのLakehouseにT-SQLアクセスを即座に提供します。しかしメタデータ同期は15分の無操作で停止し、T-SQLから鮮度を確認する手段はなく、ビューはPower BIをDirect LakeからDirectQueryへ無言で切り替えます。目を離すと暗転する読み取り窓の話。
How it actually works underneath the abstractionWhere the obvious answer breaksA real Reddit/Microsoft Q&A question unpackedThe pattern we keep seeing in the fieldThe concrete recommended architectureF-SKU realism — what this actually costsWhen the rejected approach is actually rightThe architectural principle to take homeWhat is the SQL analytics endpoint for a lakehouse?SQL analytics endpoint — CapabilitiesDecision guide: Warehouse and LakehouseRefresh SQL endpoint metadataData types in the SQL analytics endpointDirect Lake overviewShare a LakehouseLakehouse overviewWarehouse overviewSQL Database in FabricOneLake shortcutsDatabase mirroringOneLake securityCross-database queriesBetter together: the lakehouse and warehouseAI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon.
Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday.
Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing.
このポッドキャストは AI によって生成されています。どちらの音声も合成です。Matthias はクローン音声、Fabia は設計された AI 共同ホストです。
Brand design based on fabricperiodictable.com.