

On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73
Jan 7, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 4min
Nea Is a Company That Collects Data From Open Sources of the Country, Right?
03:40 • 2min
Structure of the Data Science Team?
05:43 • 3min
The Team First Approach to Maximisin Delivery
08:37 • 3min
The Chintopolose Book and the Chin Design as Softer Components in Architecture?
11:47 • 3min
How Do You Design Your Team?
15:14 • 6min
How Do Cells Interact With One Another?
20:45 • 5min
How Long Did It Take to Put a Model in Production?
25:43 • 6min
Machine Learning Platform Team - What's the Context?
31:25 • 2min
Using Cloud Platforms to Scale Your Data Platform
33:24 • 3min
Data Prock, Spark, Spark Enterprise Gateway, Spark Spark Enterprise Platform, Spark Data Platform
36:45 • 5min
The Data Platform Is the Foundation for Machine Learning
41:28 • 2min
The Challenges of Building a Platform
43:04 • 5min
Platform as a Product?
47:44 • 3min
What's the Biggest Lesson?
50:28 • 2min