

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