Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 3min
A Few Questions for a Better Contect
03:15 • 2min
Metaflo, a Data Scientist's Framework
04:58 • 3min
Orchist Is an Orchestration Tool for Data Science
07:44 • 2min
Orcas - The Backend of Orchest
09:19 • 2min
Orcest Data Modeling - What's the Use Case?
10:59 • 4min
Data Scientists Are Increasingly Fast to Build a Pipe Line
15:04 • 3min
Orces Status - Should I Be Confident Using This Project?
17:44 • 3min
Orchests - The Open Source Orchestration Project
21:04 • 1min
What's the Difference Between Orcist and Open Sorce?
22:32 • 2min
Orcist and Argo Workflows
24:38 • 2min
Distributed Computing at Scale
26:54 • 3min
How to Stout Work in the Open Source Project?
29:26 • 2min
Orchist and Data Pipelines in a Distributed System
31:53 • 2min
A Simple Mental Model That Can Help Your Data Quality
34:03 • 3min
Data Integration
36:47 • 2min
The Data Lake House
38:43 • 3min
Orchestr Script Installer
41:40 • 2min