Data Engineering Podcast

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster

47 snips
Jul 24, 2022
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1
Introduction
00:00 • 2min
2
Softward Is Defined Assets - What's the Motivation?
02:08 • 3min
3
Python Data Platforms - What Are the Outcomes?
05:27 • 2min
4
Using Github to Find Assets in a Data Platform
07:16 • 3min
5
The Core of a Sovereignfined Asset
10:16 • 2min
6
The SopDefined Acid Layer
12:12 • 2min
7
The Journey of Sopra Defined Assets
14:31 • 3min
8
The Biggest Lesson You've Learned From Daxter Day
17:50 • 2min
9
The Stable Corps Foundation That We're Building Everything On
19:44 • 2min
10
Cloud G a Release - What's Coming Out?
21:46 • 2min
11
Data Engineering
24:09 • 2min
12
Using the Orchestrator to Easily Deploy Test Environments?
26:38 • 2min
13
Cloud Computing and the Datalake Use Case - What's Next?
28:48 • 2min
14
Daxter Day
31:11 • 3min
15
Data Day
33:42 • 2min
16
Dexer Cloud Platform - What Are Some of the New and Upcoming Capabilities?
36:10 • 3min
17
Open Source vs Protearial Platform - Application Complexity, Operation and Enterprise
38:59 • 3min
18
Managing Operational Complexity
41:29 • 2min
19
The Open Source Cloud Platform - What's the Process Behind That?
43:55 • 3min
20
The Ondato Release - What You've Learned?
47:25 • 2min
21
Cloud and Daxter Cloud
49:11 • 3min
22
Airflows vs Daxter - Which Is Better?
52:34 • 2min
23
What's the Biggest Gap in Data Management?
54:08 • 4min