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Recent 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 Episode 22 • 2026-05-29 Microsoft Fabric ships its own MLflow registry — but is it a replacement for Azure Machine Learning?…
Event Schema Set: Contracts That Stop Midnight Breakage
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…
Data Activator: Stateful Alerts That Don't Spam Your Team
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…
Real-Time Dashboard: When 10-Second Refresh Changes the Architecture
Real-Time Dashboard: When 10-Second Refresh Changes the Architecture Episode 19 • 2026-05-08 Real-Time Dashboard is not Power BI wearing a different hat. Matthias and Fabia unpack the naming…
Real-Time Hub: The Yellow Pages Your Streams Were Missing
Real-Time Hub: The Yellow Pages Your Streams Were Missing Episode 18 • 2026-05-01 Matthias and Fabia unpack Fabric's Real-Time Hub — the tenant-wide catalog that sits above Eventstream, Eventhouse,…
KQL Queryset: Why Pipe-Forward Beats SQL for Time-Series
KQL Queryset: Why Pipe-Forward Beats SQL for Time-SeriesEpisode 17 • 2026-04-24 Duration: 9:39Matthias and Fabia explore the KQL Queryset in Microsoft Fabric — why the pipe-forward mental model beats…
KQL Database: Why Time-Series Data Needs Its Own Engine
KQL Database: Why Time-Series Data Needs Its Own EngineEpisode 16 • 2026-04-17 Duration: 10:26Matthias and Fabia explore why KQL Database exists alongside four other analytical stores in Microsoft…
Eventstreams — When No-Code Streaming Hides the Failure Mode
Eventstreams — When No-Code Streaming Hides the Failure Mode Episode 15 • 2026-04-10 Duration: 8:03 Matthias and Fabia break down Fabric Eventstreams — the visual stream processor that replaces three…
Eventhouse — Why Your Lakehouse Can't Do Real-Time
Eventhouse — Why Your Lakehouse Can't Do Real-Time Episode 14 • 2026-04-03 Duration: 7:32 Matthias and Fabia break down Microsoft Fabric's Eventhouse — when you need a dedicated real-time store, how…
Apache Airflow in Fabric: When Code-First Orchestration Earns Its Keep
Apache Airflow in Fabric: When Code-First Orchestration Earns Its Keep Episode 13 • 2026-03-27 Duration: 8:19 When should you reach for Apache Airflow Job instead of Data Pipelines in Microsoft…
Copy Job: When Built-In State Management Beats Pipeline Plumbing
Copy Job: When Built-In State Management Beats Pipeline Plumbing Episode 12 • 2026-03-20 Duration: 9:54 Copy Job fills the gap between Mirroring's zero-config simplicity and Pipeline's full…
SQL Database in Fabric — When OLTP Meets Your CU Budget
SQL Database in Fabric — When OLTP Meets Your CU Budget Episode 11 • 2026-03-13 Duration: 9:50 SQL Database in Fabric promises zero-ETL translytical architecture — OLTP writes mirrored to OneLake…
SQL Analytics Endpoint: Read-Only by Design
SQL Analytics Endpoint: Read-Only by Design Episode 10 • 2026-03-06 Duration: 10:53 The SQL Analytics Endpoint gives you T-SQL on Lakehouse data for free — but free comes with metadata sync delays,…
Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines
Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines Episode 9 • 2026-02-27 Duration: 15:34 Matthias and Fabia dissect the Warehouse-vs-Lakehouse decision. They explore why three SQL…
Mirrored Databases: When Zero-Code Replication Meets Real Architecture
Mirrored Databases: When Zero-Code Replication Meets Real Architecture Episode 8 • 2026-02-20 Duration: 8:18 Matthias and Fabia explore Fabric mirrored databases — the sweet spot between real-time…
Data Pipelines: When Orchestration Helps and When It Hurts
Data Pipelines: When Orchestration Helps and When It Hurts Episode 7 • 2026-02-13 Duration: 9:53 Matthias and Fabia debate when Fabric Data Pipelines earn their complexity. They unpack the…
Spark Job Definitions: Notebooks Are for Humans, SJDs Are for Machines
Spark Job Definitions: Notebooks Are for Humans, SJDs Are for Machines Episode 6 • 2026-02-06 Duration: 10:23 Matthias and Fabia break down Spark Job Definitions in Microsoft Fabric — the production…
Spark Environments: When Your Starter Pool Isn't Enough
Spark Environments: When Your Starter Pool Isn't Enough Episode 5 • 2026-01-30 Duration: 9:09 Matthias and Fabia dig into Spark Environments in Microsoft Fabric — the dependency management layer most…
Dataflow Gen2: When Power Query Meets Enterprise Scale
Dataflow Gen2: When Power Query Meets Enterprise Scale Episode 4 • 2026-01-23 Duration: 11:20 Matthias and Fabia unpack Dataflow Gen2 — the low-code transformation layer in Fabric. They cover staging…
Fabric Notebooks: When Interactive Spark Meets Production Reality
Fabric Notebooks: When Interactive Spark Meets Production Reality Episode 3 • 2026-01-16 Duration: 11:26 Matthias and Fabia dig into Fabric Notebooks — the code-first data engineering workhorse. They…
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Fabric Architecture Podcast has published 23 episodes since January 2026, covering topics in Business, Technology.
Fabric Architecture Podcast is currently highly active with new episodes weekly. Average episode length is 9m.
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