エピソード

  • Atalhos do OneLake: Ponteiros Virtuais, Tradeoffs Reais
    2026/05/04

    Episode 2: OneLake Shortcuts: Virtual Pointers, Real Tradeoffs (Português)

    Fabric Architecture Podcast — Português

    AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.

    Based on the Fabric Periodic Table.

    New episodes every Friday. DM Matthias on LinkedIn.

    AI-generated voices. Brand design based on fabricperiodictable.com.

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    10 分
  • Fabric Warehouse vs. Lakehouse: Mesmo Armazenamento, Engines Diferentes
    2026/05/04

    Episode 9: Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines (Português)

    Fabric Architecture Podcast — Português

    AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.

    Based on the Fabric Periodic Table.

    New episodes every Friday. DM Matthias on LinkedIn.

    AI-generated voices. Brand design based on fabricperiodictable.com.

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    10 分
  • Real-Time Hub: As Páginas Amarelas Que Seus Streams Precisavam
    2026/05/04

    Episode 18: Real-Time Hub: The Yellow Pages Your Streams Were Missing (Português)

    Fabric Architecture Podcast — Português

    AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host.

    Based on the Fabric Periodic Table.

    New episodes every Friday. DM Matthias on LinkedIn.

    AI-generated voices. Brand design based on fabricperiodictable.com.

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    11 分
  • Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas
    2026/05/04

    Arquitetura Lakehouse: Uma Camada de Armazenamento, Zero Desculpas

    Episode 1 • 2026-01-02 Duration: 9:07

    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.

    What we discuss

    • A real-world mistake from a pre-Fabric era
    • The one question that reframes the architectural debate
    • How we got here — predecessor products and evolution
    • Why the "obvious" answer is often wrong
    • A real Reddit/Microsoft Q&A question unpacked
    • The concrete recommended architecture
    • F-SKU realism — what this actually costs
    • When the rejected approach is actually right
    • Risks of the recommended path
    • What Microsoft is shipping that changes the calculus
    • The architectural principle to take home

    Key takeaways

    • Essa é a lição inteira. Não arquitete para o demo. Arquitete para o mês seis.
    • 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...
    • 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.

    About the show

    Built on ElevenLabs voice synthesis. 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.

    Built on ElevenLabs voice synthesis. Brand design based on fabricperiodictable.com.

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    9 分