#116 - Calling Data Bullsh*t w/ Rogier Werschkull

1

Introduction

00:00 • 3min

2

Analytical Chemistry to Data - How Did You Make That Leap?

03:28 • 2min

3

How to Detect Bullshit

05:23 • 2min

4

Is It Possible That Competitors Watch Each Other at a Competitive Market?

07:51 • 3min

5

Getting Hired at the Best Vendors

10:39 • 4min

6

The Magic Quadrant, the Gardener Quadrant

15:01 • 4min

7

What Are Your Thoughts on the Modern Data Stack?

18:43 • 4min

8

Can You Resolve Fragmentation in Today's World?

23:06 • 2min

9

Data Cloud Platforms

24:58 • 3min

10

Building a Good Modern Data Warehouse

27:58 • 3min

11

Chat GPT

31:17 • 3min

12

Is There a Future for Generative AI?

34:22 • 2min

13

Is There a Two Minute Video?

36:00 • 3min

14

Is This Going to Trigger a New MTV Era?

38:33 • 2min

15

Data Warehouse

40:31 • 2min

16

Is Kimball Modeling a Good Data Warehouse?

42:21 • 2min

17

Data Modeling Is a Lost Art

44:26 • 2min

18

The Semantic Layer and the Implications

46:13 • 2min

19

The Problems With the Modern Data Stack

48:14 • 3min

20

Is Your Metrics Consistent?

51:00 • 2min

21

Data Modeling Fundamentals Training Course

52:42 • 4min

22

Is There a Back to the Future Moment?

56:39 • 2min

23

What's Going on in the Data Community?

58:41 • 2min