Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 3min
The Importance of Listening to the Podcast
02:47 • 3min
How to Set Up Data Flows in Azure Workspaces
05:38 • 6min
TDML Timdall Is Coming to Git
11:15 • 2min
Databricks and the Direct Lake Connection in a Fabric Environment
12:56 • 4min
The Cost of Refreshing a Direct Lake
17:23 • 2min
The Cost of a Premium Capacity in PowerBI
19:07 • 3min
How to Scale a Power BI Workflow
22:35 • 3min
How to Choose the Right Data Flow for Ingestion
25:54 • 2min
The Differences Between Dataflow Gen 2 and Spark
27:31 • 5min
The Importance of Structured Tables in Power Query
32:59 • 4min
The Importance of Data Engineers
36:44 • 4min
The Power BI Developer Role
41:03 • 4min
The End-to-End Architecture of Dataflow
44:58 • 5min
The Evolution of a Data Platform
50:19 • 6min
The Importance of Gen Two for Data Modeling
55:51 • 4min
The Importance of Infrastructure in Power BI
59:31 • 3min