Snipd home pageGet the app
public
Thoughtworks Technology Podcast chevron_right

The hard parts of data architecture

Dec 2, 2021
40:36
forum Ask episode
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
1
Introduction
00:00 • 2min
chevron_right
2
The Evolution of Data Architecture
02:26 • 2min
chevron_right
3
Data Driven Decisions
04:32 • 4min
chevron_right
4
How to Get Analytical Data Faster?
08:59 • 2min
chevron_right
5
Scale, Increase the Scale of Organizations
11:00 • 2min
chevron_right
6
The Role of an Architecture in Machine Learning
13:04 • 6min
chevron_right
7
Data Architecture - A Novel Approach to Data Architecture
18:36 • 1min
chevron_right
8
The Two Patterns for Decomposing and Bringing Things Back Together
20:04 • 3min
chevron_right
9
How to Break Apart Monolit?
23:19 • 5min
chevron_right
10
Data Mesh - A New Concept
28:34 • 2min
chevron_right
11
The Difference Between Analytical and Operational Computing
30:44 • 4min
chevron_right
12
How Much Integration Is Needed?
34:17 • 3min
chevron_right
13
Data Architecture
37:04 • 3min
chevron_right

Following on from our earlier episode on the Software Architecture: the hard parts, we’re joined by the other two co-authors of that book to explore issues around data architecture and how that fits into these broader concepts of architecture. We discuss how it is that what looks like a software decision is frequently influenced by data.

HomeTop podcastsPopular guests