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Fabric Architecture Podcast

Fabric Architecture Podcast

By: Matthias Falland
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Architecture decisions for Microsoft Fabric. Anonymized real customer scenarios, cost realism, counter-arguments included. Weekly episodes aligned with Fabric Friday recordings.© 2026 Matthias Falland Economics
Episodes
  • ML Models in Fabric: Training, Deployment, and When to Stay on Azure ML

    ML Models in Fabric: Training, Deployment, and When to Stay on Azure ML
    May 29 2026
    ML Models in Fabric: Training, Deployment, and When to Stay on Azure ML Episode 22 • 2026-05-29 Microsoft Fabric ships its own MLflow registry — but is it a replacement for Azure Machine Learning? Matthias and Fabia work through the four-layer registry model, PREDICT versus Model Endpoints, the Direct Lake prediction loop, and the architectural question that actually determines the answer: where do your predictions land? What we discuss A real-world mistake from a pre-Fabric eraThe one question that reframes the architectural debateHow we got here — predecessor products and evolutionWhy the "obvious" answer is often wrongA real Reddit/Microsoft Q&A question unpackedThe concrete recommended architectureF-SKU realism — what this actually costsWhen the rejected approach is actually rightRisks of the recommended pathWhat Microsoft is shipping that changes the calculusThe architectural principle to take home Key takeaways Where do the predictions land. That question answers the architecture. OneLake plus Power BI Direct Lake — Fabric ML Model, genuinely the right call. REST API for an app — evaluate Endpoints maturity or route to Azure ML. GPU training,...I'd go further. Already on Databricks with Unity Catalog? Don't migrate. Fabric ML Model is not a migration target for Databricks shops — the platform maturity gap is real. The hybrid that actually works: train on Azure ML with GPU,...For Power BI shops — yes. PREDICT writes predictions to a Delta table in OneLake, Direct Lake reads it with zero copy, zero scheduled refresh. That eliminates an entire class of ETL work. But only if Power BI is your audience. Resources ML ExperimentNotebooksLakehouseDirect LakeCode-first AutoMLLow-code AutoMLSynapseMLActivatorMachine learning model in Microsoft FabricWhat is Data Science in Microsoft Fabric?Tutorial Part 3: Train and register a machine learning modelTutorial Part 4: Perform batch scoring and save predictionsMachine learning model scoring with PREDICTServe real-time predictions with ML model endpoints (Preview)Train models with scikit-learn in Microsoft Fabric 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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    10 mins
  • Event Schema Set: Contracts That Stop Midnight Breakage

    Event Schema Set: Contracts That Stop Midnight Breakage
    May 22 2026
    Event Schema Set: Contracts That Stop Midnight Breakage Episode 21 • 2026-05-22 Event Schema Set is Fabric's contract layer for streaming data — but it ships in Preview with real gaps. Matthias and Fabia unpack the retrofit trap, the dead-letter gap everyone worries about, and when Confluent Schema Registry is honestly the better call. What we discuss A real-world mistake from a pre-Fabric eraThe one question that reframes the architectural debateHow we got here — predecessor products and evolutionWhy the "obvious" answer is often wrongA real Reddit/Microsoft Q&A question unpackedThe concrete recommended architectureF-SKU realism — what this actually costsWhen the rejected approach is actually rightRisks of the recommended pathWhat Microsoft is shipping that changes the calculusThe architectural principle to take home Key takeaways Treat schemas as append-only contracts. Add fields with defaults — safe. Remove required fields — breaks consumers. Change a type — silent data corruption. Rename a field — silent loss in KQL queries. The system won't stop you. Your...Fair argument. And honestly? If you're an existing Kafka shop with established Confluent practices — use Confluent. The migration cost isn't worth it. Eventstream can deserialize Confluent-encoded payloads natively. You get Avro plus JSON...But you operate a separate cluster. Separate auth. Separate billing. If your entire stack is Fabric-native — Eventstream, Notebook, Activator, Eventhouse — the integration is a real win. No client library. No external cluster. Governance... Resources Schema Registry — known limitationsCloudEvents 1.0Use schemas in eventstreamsReal-Time Hub SchemasBusiness Events ConceptsConsume Business Events from ActivatorEventhouseConfluent Kafka sourceSchema Registry in Fabric Real-Time Intelligence (preview) — OverviewCreate and manage event schema setsCreate and manage event schemas in schema setsEventSchemaSet REST API definitionEventstream Overview — Schema Management sectionMultiple-Schema Inferencing in Eventstream (Preview)Eventstream Data Formats: JSON, CSV, Avro 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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    11 mins
  • Data Activator: Stateful Alerts That Don't Spam Your Team

    Data Activator: Stateful Alerts That Don't Spam Your Team
    May 15 2026
    Data Activator: Stateful Alerts That Don't Spam Your Team Episode 20 • 2026-05-15 Data Activator is Fabric's no-code event detection engine — but most teams build it wrong. Matthias and Fabia unpack the stateful rule model, the billing trap everyone hits once, and when Power Automate is actually the better answer. What we discuss A real-world mistake from a pre-Fabric eraThe one question that reframes the architectural debateHow we got here — predecessor products and evolutionWhy the "obvious" answer is often wrongA real Reddit/Microsoft Q&A question unpackedThe concrete recommended architectureF-SKU realism — what this actually costsWhen the rejected approach is actually rightRisks of the recommended pathWhat Microsoft is shipping that changes the calculusThe architectural principle to take home Key takeaways Take-home: the entity hierarchy is the product.Fair. For low-frequency data — a daily KPI check — it works fine. Where it breaks: ten thousand events per second per rule. Power Automate isn't built for that volume. And a per-flow variable isn't per-object state — you'd need one flow...Right. Wrong in exactly one place — the state machine. Here's the thing. A stateless rule fires on every matching event. Value greater than twenty-five? Sensor reports every five seconds, stays above twenty-five for an hour — you get seven... Resources Add Activator to EventstreamActivator from KQL QuerysetActivator from RTDActivator from Power BIReal-Time Hub Set AlertsSet Alerts on Anomaly DetectionWhat is Fabric Activator?Tutorial: Create and activate a Fabric Activator ruleCreate a rule in Fabric ActivatorTrigger modeling in ActivatorFabric Activator rulesDetection conditionsActivator LimitationsLatency in ActivatorActivator Capacity Consumption 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 mins
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