The Netflix TechBlog

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In 2019, Netflix moved thousands of container hosts to bare metal. Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering.

AWS 37

AWS Entertainment Open Source Benchmarking 37

O'Reilly

FEBRUARY 18, 2020

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

MARCH 2, 2020

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

O'Reilly

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. That said, the audience for this survey—like those of almost all Radar surveys—is disproportionately technical. Figure 1: Respondent roles.

Database 135

Database Architecture Education Systems 135