Fabric Architecture Podcast (हिनदी) Transistor (https://transistor.fm) https://feeds.transistor.fm/fabric-architecture-podcast-3df4751c-db1b-4a8b-9788-8dfa1542e9ac Microsoft Fabric के लिए architecture decisions। असली customer scenarios, cost realism, counter-arguments शामिल। Fabric Friday recordings के साथ weekly episodes। AI द्वारा नि��्मित। © 2026 Matthias Falland b8b861ab-702f-58be-a68b-a3f3fcc96587 yes hi Wed, 20 May 2026 20:08:20 +0200 Wed, 20 May 2026 20:09:19 +0200 https://www.fabricperiodictable.com https://img.transistorcdn.com/0wUytZqlXtl2sxuzFxgHjXYUovwwx6CX4OtQvbOVlCg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83NjYy/MzRhODIyY2MyYzhl/ZWJiMmM4NGJmMjYy/YjExNy5wbmc.jpg Fabric Architecture Podcast (हिनदी) https://www.fabricperiodictable.com episodic Matthias Falland Microsoft Fabric के लिए architecture decisions। असली customer scenarios, cost realism, counter-arguments शामिल। Fabric Friday recordings के साथ weekly episodes। AI द्वारा नि��्मित। Microsoft Fabric के लिए architecture decisions। असली customer scenarios, cost realism, counter-arguments शामिल। Fabric Friday recordings के साथ weekly episodes। AI द्वारा नि��्मित।. technology, ai, data, fabric, microsoft Matthias Falland No No OneLake शॉर्टकट्स: वर्चुअल पॉइंटर्स, असली ट्रेडऑफ़ 2 2 OneLake शॉर्टकट्स: वर्चुअल पॉइंटर्स, असली ट्रेडऑफ़ full 99322e69-f4ee-4ee3-b47c-911dd694f3e8 https://share.transistor.fm/s/8648ff62 Episode 2: OneLake Shortcuts: Virtual Pointers, Real Tradeoffs (हिन्दी)

Fabric Architecture Podcast — हिन्दी

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.

]]> Episode 2: OneLake Shortcuts: Virtual Pointers, Real Tradeoffs (हिन्दी)

Fabric Architecture Podcast — हिन्दी

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.

]]> Mon, 04 May 2026 19:44:21 +0200 Matthias Falland Matthias Falland 559 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. 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 microsoft-fabric,data-architecture,podcast No Fabric Warehouse vs. Lakehouse: एक ही स्टोरेज, अलग इंजन 9 9 Fabric Warehouse vs. Lakehouse: एक ही स्टोरेज, अलग इंजन full debacd64-3fa1-4e2e-9e43-0ca227c20786 https://share.transistor.fm/s/8c986e3f Episode 9: Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines (हिन्दी)

Fabric Architecture Podcast — हिन्दी

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.

]]> Episode 9: Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines (हिन्दी)

Fabric Architecture Podcast — हिन्दी

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.

]]> Mon, 04 May 2026 19:44:19 +0200 Matthias Falland Matthias Falland 629 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. 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 microsoft-fabric,data-architecture,podcast No Real-Time Hub: वो Yellow Pages जो आपकी Streams को चाहिए थीं 18 18 Real-Time Hub: वो Yellow Pages जो आपकी Streams को चाहिए थीं full d9681500-7de2-48e0-938d-6fd2ef5b4885 https://share.transistor.fm/s/7c4b5d38 Episode 18: Real-Time Hub: The Yellow Pages Your Streams Were Missing (हिन्दी)

Fabric Architecture Podcast — हिन्दी

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.

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

Fabric Architecture Podcast — हिन्दी

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.

]]> Mon, 04 May 2026 19:44:17 +0200 Matthias Falland Matthias Falland 626 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. 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 microsoft-fabric,data-architecture,podcast No Lakehouse आर्किटेक्चर: एक Storage Layer, कोई बहाना नहीं 1 1 Lakehouse आर्किटेक्चर: एक Storage Layer, कोई बहाना नहीं full cf26bc67-30c8-4360-ae91-422381154822 https://share.transistor.fm/s/bb965fe6 Lakehouse आर्किटेक्चर: एक Storage Layer, कोई बहाना नहीं

Episode 1 • 2026-01-02 Duration: 8:37

Fabric Lakehouse सिर्फ एक बार सेट करके भूल जाने वाला data platform नहीं है — यह बात Matthias और Fabia बखूबी समझाते हैं। असली architectural tradeoffs — medallion layers, Delta table maintenance, Direct Lake, और वो situations जहाँ Warehouse बेहतर option होता है।

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

  • यही पूरा lesson है। Demo के लिए architect मत करो। Month six के लिए architect करो।
  • बिल्कुल valid choice है। अगर आपकी team SQL-first है, Spark की ज़रूरत नहीं, ML नहीं — तो Warehouse genuinely बेहतर हो सकता है। वो tool चुनें जो team और workload से match करे, न कि वो जो architecture slide पर सबसे impressive दिखे।
  • बात सही है। Trap नहीं — tradeoff है। आपको Spark मिलता है, flexibility मिलती है, streaming और batch एक ही जगह। लेकिन maintenance आपकी ज़िम्मेदारी है। यही deal है।

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.

]]> Lakehouse आर्किटेक्चर: एक Storage Layer, कोई बहाना नहीं

Episode 1 • 2026-01-02 Duration: 8:37

Fabric Lakehouse सिर्फ एक बार सेट करके भूल जाने वाला data platform नहीं है — यह बात Matthias और Fabia बखूबी समझाते हैं। असली architectural tradeoffs — medallion layers, Delta table maintenance, Direct Lake, और वो situations जहाँ Warehouse बेहतर option होता है।

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

  • यही पूरा lesson है। Demo के लिए architect मत करो। Month six के लिए architect करो।
  • बिल्कुल valid choice है। अगर आपकी team SQL-first है, Spark की ज़रूरत नहीं, ML नहीं — तो Warehouse genuinely बेहतर हो सकता है। वो tool चुनें जो team और workload से match करे, न कि वो जो architecture slide पर सबसे impressive दिखे।
  • बात सही है। Trap नहीं — tradeoff है। आपको Spark मिलता है, flexibility मिलती है, streaming और batch एक ही जगह। लेकिन maintenance आपकी ज़िम्मेदारी है। यही deal है।

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.

]]> Mon, 04 May 2026 15:10:11 +0200 Matthias Falland Matthias Falland 518 Fabric Lakehouse सिर्फ एक बार सेट करके भूल जाने वाला data platform नहीं है — यह बात Matthias और Fabia बखूबी समझाते हैं। असली architectural tradeoffs — medallion layers, Delta table maintenance, Direct Lake, और वो situations जहाँ Warehouse बेहतर option होता है। Fabric Lakehouse सिर्फ एक बार सेट करके भूल जाने वाला data platform नहीं है — यह बात Matthias और Fabia बखूबी समझाते हैं। असली architectural tradeoffs — medallion layers, Delta table maintenance, Direct Lake, और वो situations जहाँ Warehouse बेहतर option होत microsoft-fabric,data-architecture,podcast No