

Why are we so bad at this modern data stack? w/ Chad Sanderson.
9 snips Apr 14, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 3min
Getting Data Architecture Right Sometimes Requires Paying Down Legacy Debt
02:43 • 3min
I've Got a Lawn Mower, and I'm Going to Take Pride in My House
05:15 • 5min
The Devil Is in the Details, Right?
09:48 • 1min
Change Data Capturing
11:04 • 5min
Data Quality Is Not Scalable
15:48 • 2min
Is There a Knowledge Layer?
18:00 • 4min
The Upstream Consumer and the Upstream Producer
21:36 • 4min
How to Do Up Front Data Definition?
25:46 • 4min
Are You in Your Own Bubble?
29:43 • 5min
The Ideal Data Warehouse Is Composed of Four Parts
34:15 • 4min
Cloud Data Warehouse, Orsuica?
38:30 • 2min
The Transformation Layer Is a Convenient Context
40:21 • 6min
The Future Is Here, Right?
46:14 • 2min
Datacentric Architecture
48:44 • 3min
Is the Runaway Train of the Modern Data Stack Moving Too Fast?
51:19 • 3min
Data Mesh - Is the Analytics Engineer the New Data Architect?
53:59 • 3min
The Modern Data Stack
56:41 • 4min
What's Your Advice for Data Teams?
01:01:01 • 3min