

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster
47 snips Jul 24, 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
Introduction
00:00 • 2min
Softward Is Defined Assets - What's the Motivation?
02:08 • 3min
Python Data Platforms - What Are the Outcomes?
05:27 • 2min
Using Github to Find Assets in a Data Platform
07:16 • 3min
The Core of a Sovereignfined Asset
10:16 • 2min
The SopDefined Acid Layer
12:12 • 2min
The Journey of Sopra Defined Assets
14:31 • 3min
The Biggest Lesson You've Learned From Daxter Day
17:50 • 2min
The Stable Corps Foundation That We're Building Everything On
19:44 • 2min
Cloud G a Release - What's Coming Out?
21:46 • 2min
Data Engineering
24:09 • 2min
Using the Orchestrator to Easily Deploy Test Environments?
26:38 • 2min
Cloud Computing and the Datalake Use Case - What's Next?
28:48 • 2min
Daxter Day
31:11 • 3min
Data Day
33:42 • 2min
Dexer Cloud Platform - What Are Some of the New and Upcoming Capabilities?
36:10 • 3min
Open Source vs Protearial Platform - Application Complexity, Operation and Enterprise
38:59 • 3min
Managing Operational Complexity
41:29 • 2min
The Open Source Cloud Platform - What's the Process Behind That?
43:55 • 3min
The Ondato Release - What You've Learned?
47:25 • 2min
Cloud and Daxter Cloud
49:11 • 3min
Airflows vs Daxter - Which Is Better?
52:34 • 2min
What's the Biggest Gap in Data Management?
54:08 • 4min