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All Episodes

Fabric Architecture Podcast — 19 episodes

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Title
1

Real-Time Hub: The Yellow Pages Your Streams Were Missing

2

KQL Queryset: Why Pipe-Forward Beats SQL for Time-Series

3

KQL Database: Why Time-Series Data Needs Its Own Engine

4

Eventstreams — When No-Code Streaming Hides the Failure Mode

5

Eventhouse — Why Your Lakehouse Can't Do Real-Time

6

Apache Airflow in Fabric: When Code-First Orchestration Earns Its Keep

7

Copy Job: When Built-In State Management Beats Pipeline Plumbing

8

SQL Database in Fabric — When OLTP Meets Your CU Budget

9

SQL Analytics Endpoint: Read-Only by Design

10

Fabric Warehouse vs. Lakehouse: Same Storage, Different Engines

11

Mirrored Databases: When Zero-Code Replication Meets Real Architecture

12

Data Pipelines: When Orchestration Helps and When It Hurts

13

Spark Job Definitions: Notebooks Are for Humans, SJDs Are for Machines

14

Spark Environments: When Your Starter Pool Isn't Enough

15

Dataflow Gen2: When Power Query Meets Enterprise Scale

16

Fabric Notebooks: When Interactive Spark Meets Production Reality

17

OneLake Shortcuts: Virtual Pointers, Real Tradeoffs

18

Lakehouse Architecture: One Storage Layer, Zero Excuses

19

Welcome to the Fabric Architecture Podcast