Microsoft Fabric Architecture Podcast (日本語)

Matthias Falland

Microsoft Fabric のア���キテクチャ意思決定。匿名化された実際の顧客シナリオ、コストのリアリズム、反論を含む。Fabric Friday の録画に合わせた週刊エピソード。AIにより生成。

  1. 3d ago

    Fabric専用環境にPurviewは必要か

    Fabric専用環境にPurviewは必要か Episode 44 • 2026-11-06 Duration: 10:23 Purviewはブランド名であり、アカウントでもある。2つは別の購入です。Fabric単独のテナントがGovernからすでに得ているもの、ネイティブ系列の限界、そしてLakehouse系列目的でPurviewアカウントを購入してもギャップが埋まらない理由を解説します。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field Where the obvious answer breaks A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path The concrete recommended architecture The architectural principle to take home From the video Demo 1: Govern, Seen by Three People Demo 2: Lineage Until It Stops Architecture film: When you need a purview account Architecture film: What you already have Resources Use Microsoft Purview to protect Microsoft Fabric Governance overview and guidance enable labels DLP planning DLP get started audit solutions billing models register and scan Fabric data governance billing free version OneLake catalog overview Catalog - Search item details What's new Govern your Fabric data estate About the show AI-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. Submit your case 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.

    Fabric専用環境にPurviewは必要か

  2. 3d ago

    あの数字は誰が約束した？

    スコアカードの中に潜むデータベース Episode 31 • 2026-07-31 Duration: 13:24 スコアカードを新規作成するだけで、ワークスペースに2つ目のセマンティック モデルが自動生成されます。読み取り専用のレンズではなく、状態を書き込むストアである。このアーキテクチャ上の事実が、行レベルのセキュリティが効かない理由、更新が上流で止まる理由、ロールアップが権限境界を超えて値を漏らす理由のすべてを説明します。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field Where the obvious answer breaks A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path The architectural principle to take home The concrete recommended architecture Resources Get started with goals Deprecation of Metric Sets in Power BI Fabric Community updates blog Create scorecards Scorecard subscriptions Create subgoals Hierarchies in scorecards Create connected goals in Power BI Stay on top of your goals (check-ins) Create automated status rules for goals Protect your scorecards with goal-level permissions Create linked goals in the Power BI service (preview) Refresh goals and scorecards automatically Use Power Automate to update goals automatically Use Power BI metrics to track goals in Microsoft Teams About the show AI-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. Submit your case 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.

    あの数字は誰が約束した？

  3. Oct 30

    看板は鍵にはならない

    看板は鍵にはならない Episode 43 • 2026-10-30 Duration: 10:19 秘密度ラベルで「極秘」と表示されていても、Fabric内部でアイテムを誰が開けるかはラベルでは決まらない。ラベルが本当にアクセスを制御する場所と、鍵に見えて実は看板でしかない場所を明らかにする。 What we discuss The pattern we keep seeing in the field How it actually works underneath the abstraction Where the obvious answer breaks A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right The concrete recommended architecture Risks of the recommended path The architectural principle to take home From the video Demo 1: The Label Changed Nothing Architecture film: Two questions two mechanisms Architecture film: Eight routes onto an item Architecture film: Where protection starts Architecture film: Where label and permission meet Resources Sensitivity labels in Power BI Sensitivity labels troubleshooting Protected sensitivity labels in Fabric and Power BI Roles in workspaces Permission model Row-level security (RLS) with Power BI Information protection in Microsoft Fabric Protection policies in Microsoft Fabric Restrict access to content by using sensitivity labels to apply encryption Export data from a Power BI visualization Apply sensitivity labels to Fabric items Default label policy for Fabric and Power BI Mandatory label policy for Fabric and Power BI Domain-level default sensitivity labels Information protection tenant settings About the show AI-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. Submit your case 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.

    看板は鍵にはならない

  4. Oct 30

    483ページを生んだ、たった1つの設計判断

    たった1つの式でデータ上限が半分になる Episode 30 • 2026-07-24 Duration: 12:47 ページ分割されたレポートにはデータモデルがありません。その1つの設計判断が、本番で遭遇するすべての制限を説明します。無警告のデータ欠落から、一度しか開かないテナント全体のセキュリティ設定まで。ツール選択を自ずと決定づける問いに辿り着くエピソードです。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field A real Reddit/Microsoft Q&A question unpacked Where the obvious answer breaks F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path The architectural principle to take home Resources What are paginated reports in Power BI? When to use paginated reports Paginated reports in the Power BI service Performance and scalability FAQ Paginated Report definition Access the paginated report editor SQL Server Reporting Services (Wikipedia) RDL Schema Specification Plan to migrate .rdl reports Supported data sources Connect via Power Query Create and use the paginated report visual Email subscriptions Export Power BI paginated reports About the show AI-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. Submit your case 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.

    483ページを生んだ、たった1つの設計判断

  5. Oct 23

    誰も数えていない5000のファイル

    誰も数えていない5000のファイル Episode 42 • 2026-10-23 Duration: 12:43 メダリオンはFabricの推奨設計手法です。しかし5つある構成要素のうちの1つにすぎず、しかもアーキテクチャ図には載らないメンテナンス請求書がついてきます。Direct LakeのOneLakeにおけるファイル数ガードレールの意味、スキーマ対応Lakehouseで自動メンテナンスアクティビティが使えない理由、そしてこのパターン自体が過剰になる場面を解説します。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field Where the obvious answer breaks A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right The concrete recommended architecture The architectural principle to take home From the video Architecture film: Five building blocks Architecture film: Each layer is a contract Demo 1: Bronze That Copies Nothing Demo 2: Silver as a Contract Architecture film: When recipe is wrong Resources Understand medallion architecture for Fabric with OneLake OneLake patterns and foundational capabilities Common dbt job patterns Modern data warehouse medallion architecture in Microsoft Fabric What are materialized lake views? Spark SQL reference Optimal refresh Cross-workload table maintenance and optimization What's new Lakehouse Maintenance activity Apache Spark billing and utilization extended capabilities CDF page Data quality in materialized lake views Manage materialized lake views lineage About the show AI-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. Submit your case 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.

    誰も数えていない5000のファイル

  6. Oct 23

    なぜダッシュボードにフィルターがないのか

    フィルターできないダッシュボード Episode 29 • 2026-07-17 Duration: 12:37 Power BIのダッシュボードは6つの異なるセマンティック モデルからタイルを表示できます。しかし、その1つもフィルターできません。なぜアーキテクチャがそのトレードオフを不可避にしているのか、ダッシュボードとレポートの使い分けにどう影響するのかを解説します。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field A real Reddit/Microsoft Q&A question unpacked Where the obvious answer breaks F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path The concrete recommended architecture The architectural principle to take home Resources Introduction to dashboards for Power BI designers Compare Report Server and the Power BI service Introduction to dashboard tiles Pin Reporting Services items to Power BI dashboards Pin an entire report page as a live tile Reports in Power BI Create a Real-Time Dashboard What is Fabric Embed (preview) Conduct proof of concept to migrate to Power BI mobile-apps-view-dashboard service-dashboard-pin-tile-from-excel service-pin-tile-to-another-dashboard Dashboards for business users Create a Power BI dashboard from a report, Considerations and limitations Create or edit a dashboard tile About the show AI-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. Submit your case 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.

    なぜダッシュボードにフィルターがないのか

  7. Oct 22

    データは渡る、権限は止まる

    データは渡る、権限は止まる Episode 41 • 2026-09-18 Duration: 10:48 DatabricksとFabricの統合経路は1つではなく5つ。データは動く。権限は動かない。1つの資格情報モデル、取り消しに1時間かかる遅延、そしてUnity Catalogの行レベルのセキュリティを迂回するADLS shortcutを掘り下げます。 What we discuss How it actually works underneath the abstraction Where the obvious answer breaks The pattern we keep seeing in the field A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path The concrete recommended architecture The architectural principle to take home Watch the episode The Fabric Friday video on this topic: https://youtu.be/RAqhXwSj_HE From the video 13:33 Demo: Direct Lake Over Databricks Data 3:17 Demo: Mirror a Catalog from Unity Catalog 8:37 Demo: One Credential for Everyone, and a Revoke That Takes an Hour 23:49 Who Pays 17:02 The Reverse Direction Is Three Different Things Resources Mirroring Azure Databricks Unity Catalog Secure Fabric mirrored databases from Azure Databricks Tutorial: Configure Microsoft Fabric mirrored databases from Azure Databricks Enable external data access to Unity Catalog Publish a Unity Catalog catalog to Microsoft Fabric Limitations in Microsoft Fabric mirrored databases from Azure Databricks Enable OneLake catalog federation Integrate OneLake with Azure Databricks Connect Azure Databricks to a OneLake external location Fabric capacity and OneLake consumption OneLake compute and storage consumption Understand your Azure bill for a Fabric capacity Shortcuts in a lakehouse Mirrored Azure Databricks Unity Catalog definition OneLake storage tiers About the show AI-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. Submit your case 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.

    データは渡る、権限は止まる

  8. Oct 16

    遅いのはレポートではない

    誰も見ない「その他」 Episode 28 • 2026-07-10 Duration: 13:01 ビジュアル20個で20本のDAXクエリが走る。並列処理の上限を超えた分は順番待ちになるのに、ボトルネックはPerformance Analyzerで誰も見ない項目に隠れている。そして、全行をPDFに出そうとする回避策は、静かに間違った数字を返す。 What we discuss How it actually works underneath the abstraction The pattern we keep seeing in the field The concrete recommended architecture Where the obvious answer breaks A real Reddit/Microsoft Q&A question unpacked F-SKU realism — what this actually costs When the rejected approach is actually right The architectural principle to take home Resources Power BI reports overview Build Power BI reports with Direct Lake tables Reports in Power BI - Dashboards versus reports When to use paginated reports What are paginated reports Introduction to dashboards Git integration source code format Tour the report editor Interact with a report in Editing view Implementation planning: user tools and devices Direct Lake in Power BI Desktop Apply data point limits and strategies by visual type How Direct Lake works Power BI Desktop project report folder Connect to semantic models from Power BI Desktop About the show AI-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. Submit your case 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.

    遅いのはレポートではない
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Microsoft Fabric のア���キテクチャ意思決定。匿名化された実際の顧客シナリオ、コストのリアリズム、反論を含む。Fabric Friday の録画に合わせた週刊エピソード。AIにより生成。

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