Thoughtworks Technology Podcast

The hard parts of data architecture

Dec 2, 2021

40:36

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Highlights

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Episode notes

How to Get Analytical Data Faster?

02:01

The Difference Between Analytical and Operational Computing

03:33

How to Break Apart Monolit?

05:14

Introduction

2min

The Evolution of Data Architecture

2min

Data Driven Decisions

4min

How to Get Analytical Data Faster?

2min

Scale, Increase the Scale of Organizations

2min

The Role of an Architecture in Machine Learning

6min

Data Architecture - A Novel Approach to Data Architecture

1min

The Two Patterns for Decomposing and Bringing Things Back Together

3min

How to Break Apart Monolit?

5min

10.

Data Mesh - A New Concept

2min

11.

The Difference Between Analytical and Operational Computing

4min

12.

How Much Integration Is Needed?

3min

13.

Data Architecture

3min

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.