Catalog & Cocktails: The Honest, No-BS Data Podcast

Data Engineering: where are we and where are we going? w/ Joe Reis and Matt Housley of Ternary Data

8 snips
Sep 8, 2022
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Episode notes
1
Introduction
00:00 • 2min
2
What Are You Toasting?
01:37 • 2min
3
What Have You Deployed That Has Goes Terribly Wrong?
03:20 • 2min
4
How Do People Keep Me in Check?
05:20 • 2min
5
Is It Worth Redoing Just for the Sake of It?
07:00 • 2min
6
Data Modelling Is a Hot Thing?
08:37 • 4min
7
Are We Valuing and Valuating It Enough?
12:18 • 2min
8
Are You Adding Value With Data?
14:05 • 2min
9
The Skill Gap in Cloud Technologies
15:50 • 3min
10
How to Assess Problems?
18:49 • 2min
11
The Text Act of the Familiatei
20:36 • 2min
12
Enterprise Data Engineering
22:30 • 3min
13
Is It Reallyany Glass?
25:33 • 2min
14
How Much Should All Date Engineers Be Learning Data Modelling?
27:12 • 2min
15
Data Modelling Techniques
29:30 • 3min
16
Data Modelling Is Not an Easy Problem
32:15 • 2min
17
Data Modelling Reflects Human Processes
34:21 • 2min
18
Data Literacy Is Underrated, Right?
36:19 • 2min
19
Data Engineers - What's Next?
38:14 • 2min
20
Data Engineering
39:52 • 3min
21
Data Engineering Meets Machine Learning
43:01 • 2min
22
What's New in the Information Library Sciences?
44:54 • 2min
23
Data Mesh Is the One Thing That's Really Cool
46:32 • 2min
24
The Evolution of Machine Learning
48:31 • 3min
25
The Problems Around Tabular Data Ar Still Really, Really Are
52:00 • 1min
26
Is There a New Modelling Paradise?
53:29 • 2min
27
Data Engineering
55:21 • 2min
28
How to Learn Data Modelling
57:17 • 2min
29
Are We Going Through a Recession or Something Like That?
58:49 • 2min
30
Are You a Data Engineer?
01:00:25 • 4min
31
Data Modelling - What's Next?
01:04:06 • 2min
32
Data Engineering - What's Your Advice?
01:06:17 • 2min
33
A Few of My All Time Favorite Data Talks
01:07:48 • 2min
34
Theod Supports Enterprise Data Catalogue
01:09:48 • 2min