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    <title>Fabric Architecture Podcast (Português)</title>
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    <description>Decisões de arquitetura para Microsoft Fabric. Cenários reais anonimizados, realismo de custos, contra-argumentos incluídos. Episódios semanais alinhados com as gravações do Fabric Friday. Gerado por inteligência artificial.</description>
    <copyright>© 2026 Matthias Falland</copyright>
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    <pubDate>Thu, 30 Jul 2026 09:29:52 +0200</pubDate>
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    <link>https://www.fabricperiodictable.com</link>
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      <title>Fabric Architecture Podcast (Português)</title>
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    <itunes:summary>Decisões de arquitetura para Microsoft Fabric. Cenários reais anonimizados, realismo de custos, contra-argumentos incluídos. Episódios semanais alinhados com as gravações do Fabric Friday. Gerado por inteligência artificial.</itunes:summary>
    <itunes:subtitle>Decisões de arquitetura para Microsoft Fabric.</itunes:subtitle>
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      <itunes:name>Matthias Falland</itunes:name>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Real-Time Hub: As Páginas Amarelas Que Seus Streams Precisavam</title>
      <itunes:episode>18</itunes:episode>
      <podcast:episode>18</podcast:episode>
      <itunes:title>Real-Time Hub: As Páginas Amarelas Que Seus Streams Precisavam</itunes:title>
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        <![CDATA[<p><b>Episode 18: Real-Time Hub: The Yellow Pages Your Streams Were Missing (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
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        <![CDATA[<p><b>Episode 18: Real-Time Hub: The Yellow Pages Your Streams Were Missing (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
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      <pubDate>Thu, 30 Jul 2026 09:29:52 +0200</pubDate>
      <author>Matthias Falland</author>
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      <itunes:author>Matthias Falland</itunes:author>
      <itunes:duration>674</itunes:duration>
      <itunes:summary>Matthias and Fabia unpack Fabric's Real-Time Hub — the tenant-wide catalog that sits above Eventstream, Eventhouse, and Activator. They tackle why it feels redundant until it doesn't, dig into a real Reddit question about skipping the Hub entirely, and lay out the four-layer real-time stack every architect should internalize.</itunes:summary>
      <itunes:subtitle>Matthias and Fabia unpack Fabric's Real-Time Hub — the tenant-wide catalog that sits above Eventstream, Eventhouse, and Activator. They tackle why it feels redundant until it doesn't, dig into a real Reddit question about skipping the Hub entirely, and la</itunes:subtitle>
      <itunes:keywords>microsoft-fabric,data-architecture,podcast</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Fabric Warehouse vs. Lakehouse: Mesmo Armazenamento, Engines Diferentes</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>Fabric Warehouse vs. Lakehouse: Mesmo Armazenamento, Engines Diferentes</itunes:title>
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        <![CDATA[<p><b>Episode 9: Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>Episode 9: Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
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      <pubDate>Thu, 30 Jul 2026 09:27:47 +0200</pubDate>
      <author>Matthias Falland</author>
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      <itunes:duration>595</itunes:duration>
      <itunes:summary>Matthias and Fabia dissect the Warehouse-vs-Lakehouse decision. They explore why three SQL options exist in Fabric, when the SQL endpoint's read-only design saves you, and why judging Warehouse performance on a cold-cache first query is the mistake everyone makes.</itunes:summary>
      <itunes:subtitle>Matthias and Fabia dissect the Warehouse-vs-Lakehouse decision. They explore why three SQL options exist in Fabric, when the SQL endpoint's read-only design saves you, and why judging Warehouse performance on a cold-cache first query is the mistake everyo</itunes:subtitle>
      <itunes:keywords>microsoft-fabric,data-architecture,podcast</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Atalhos do OneLake: Ponteiros Virtuais, Tradeoffs Reais</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Atalhos do OneLake: Ponteiros Virtuais, Tradeoffs Reais</itunes:title>
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        <![CDATA[<p><b>Episode 2: OneLake Shortcuts: Virtual Pointers, Real Tradeoffs (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>Episode 2: OneLake Shortcuts: Virtual Pointers, Real Tradeoffs (Português)</b></p>
<p><b>Fabric Architecture Podcast — Português</b></p>
<p>AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.</p>
<p>Based on the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>.</p>
<p>New episodes every Friday. DM Matthias on <a href="https://www.linkedin.com/in/matthiasfalland/">LinkedIn</a>.</p>

<p><em>AI-generated voices. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
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      <pubDate>Thu, 30 Jul 2026 09:26:04 +0200</pubDate>
      <author>Matthias Falland</author>
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      <itunes:author>Matthias Falland</itunes:author>
      <itunes:duration>593</itunes:duration>
      <itunes:summary>Matthias and Fabia break down OneLake shortcuts — virtual pointers that unify multi-cloud data without copies. They cover the read-write boundary, the shared credential security model, caching economics, and when a good old copy is actually the better architecture call.</itunes:summary>
      <itunes:subtitle>Matthias and Fabia break down OneLake shortcuts — virtual pointers that unify multi-cloud data without copies. They cover the read-write boundary, the shared credential security model, caching economics, and when a good old copy is actually the better arc</itunes:subtitle>
      <itunes:keywords>microsoft-fabric,data-architecture,podcast</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas</itunes:title>
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        <![CDATA[<p><b>Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas</b></p>
<p><strong>Episode 1</strong> • 2026-01-02
<strong>Duration</strong>: 9:07</p>
<p>Por que o Fabric Lakehouse não é uma plataforma de dados que se configura e se esquece. Matthias e Fabia detalham os reais trade-offs arquiteturais — camadas medallion, manutenção de tabelas Delta, Direct Lake, e quando um Warehouse é a escolha certa de verdade.</p>
<p><b>What we discuss</b></p>
<ul>
<li>A real-world mistake from a pre-Fabric era</li>
<li>The one question that reframes the architectural debate</li>
<li>How we got here — predecessor products and evolution</li>
<li>Why the "obvious" answer is often wrong</li>
<li>A real Reddit/Microsoft Q&amp;A question unpacked</li>
<li>The concrete recommended architecture</li>
<li>F-SKU realism — what this actually costs</li>
<li>When the rejected approach is actually right</li>
<li>Risks of the recommended path</li>
<li>What Microsoft is shipping that changes the calculus</li>
<li>The architectural principle to take home</li>
</ul>
<p><b>Key takeaways</b></p>
<ul>
<li>Essa é a lição inteira. Não arquitete para o demo. Arquitete para o mês seis.</li>
<li>Escolha completamente válida. Se o seu time é SQL-first, sem necessidade de Spark, sem ML — o Warehouse pode genuinamente ser a melhor opção. Escolha a ferramenta que combina com o time e com a carga de trabalho, não a que parece mais...</li>
<li>Faz sentido. Não é armadilha — é trade-off. Você ganha Spark, flexibilidade, streaming e batch num único lugar. Mas a manutenção é sua. Esse é o acordo.</li>
</ul>
<p><b>About the show</b></p>
<p>Built on <a href="https://elevenlabs.io">ElevenLabs</a> voice synthesis. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on <a href="https://www.youtube.com/@yourchannelhere">YouTube (Fabric Friday)</a>, at his meetups, and at conferences like <a href="https://fabricconf.com">FabCon</a>.</p>
<p>Hosted by <strong>Matthias Falland</strong> — Microsoft Data Platform MVP and community architect behind the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>. New episodes every Friday.</p>
<p><b>Submit your case</b></p>
<p>Have an architecture decision you are wrestling with? <strong>DM Matthias on LinkedIn</strong> — <a href="https://www.linkedin.com/in/matthiasfalland/">find him as Matthias Falland</a>. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing.</p>

<p><em>Built on ElevenLabs voice synthesis. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas</b></p>
<p><strong>Episode 1</strong> • 2026-01-02
<strong>Duration</strong>: 9:07</p>
<p>Por que o Fabric Lakehouse não é uma plataforma de dados que se configura e se esquece. Matthias e Fabia detalham os reais trade-offs arquiteturais — camadas medallion, manutenção de tabelas Delta, Direct Lake, e quando um Warehouse é a escolha certa de verdade.</p>
<p><b>What we discuss</b></p>
<ul>
<li>A real-world mistake from a pre-Fabric era</li>
<li>The one question that reframes the architectural debate</li>
<li>How we got here — predecessor products and evolution</li>
<li>Why the "obvious" answer is often wrong</li>
<li>A real Reddit/Microsoft Q&amp;A question unpacked</li>
<li>The concrete recommended architecture</li>
<li>F-SKU realism — what this actually costs</li>
<li>When the rejected approach is actually right</li>
<li>Risks of the recommended path</li>
<li>What Microsoft is shipping that changes the calculus</li>
<li>The architectural principle to take home</li>
</ul>
<p><b>Key takeaways</b></p>
<ul>
<li>Essa é a lição inteira. Não arquitete para o demo. Arquitete para o mês seis.</li>
<li>Escolha completamente válida. Se o seu time é SQL-first, sem necessidade de Spark, sem ML — o Warehouse pode genuinamente ser a melhor opção. Escolha a ferramenta que combina com o time e com a carga de trabalho, não a que parece mais...</li>
<li>Faz sentido. Não é armadilha — é trade-off. Você ganha Spark, flexibilidade, streaming e batch num único lugar. Mas a manutenção é sua. Esse é o acordo.</li>
</ul>
<p><b>About the show</b></p>
<p>Built on <a href="https://elevenlabs.io">ElevenLabs</a> voice synthesis. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on <a href="https://www.youtube.com/@yourchannelhere">YouTube (Fabric Friday)</a>, at his meetups, and at conferences like <a href="https://fabricconf.com">FabCon</a>.</p>
<p>Hosted by <strong>Matthias Falland</strong> — Microsoft Data Platform MVP and community architect behind the <a href="https://www.fabricperiodictable.com">Fabric Periodic Table</a>. New episodes every Friday.</p>
<p><b>Submit your case</b></p>
<p>Have an architecture decision you are wrestling with? <strong>DM Matthias on LinkedIn</strong> — <a href="https://www.linkedin.com/in/matthiasfalland/">find him as Matthias Falland</a>. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing.</p>

<p><em>Built on ElevenLabs voice synthesis. Brand design based on <a href="https://www.fabricperiodictable.com">fabricperiodictable.com</a>.</em></p>]]>
      </content:encoded>
      <pubDate>Thu, 30 Jul 2026 09:25:35 +0200</pubDate>
      <author>Matthias Falland</author>
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      <itunes:author>Matthias Falland</itunes:author>
      <itunes:duration>548</itunes:duration>
      <itunes:summary>Por que o Fabric Lakehouse não é uma plataforma de dados que se configura e se esquece. Matthias e Fabia detalham os reais trade-offs arquiteturais — camadas medallion, manutenção de tabelas Delta, Direct Lake, e quando um Warehouse é a escolha certa de verdade.</itunes:summary>
      <itunes:subtitle>Por que o Fabric Lakehouse não é uma plataforma de dados que se configura e se esquece. Matthias e Fabia detalham os reais trade-offs arquiteturais — camadas medallion, manutenção de tabelas Delta, Direct Lake, e quando um Warehouse é a escolha certa de v</itunes:subtitle>
      <itunes:keywords>microsoft-fabric,data-architecture,podcast</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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