The Netflix TechBlog

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 197

Data Engineering Engineering Entertainment Big Data 197

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Coincidence?

Software Architecture 145

Software Architecture DevOps Data Engineering Architecture 145

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 216

Analytics C++ Innovation Engineering 216

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 38

AWS Entertainment Open Source Benchmarking 38

O'Reilly

MARCH 2, 2020

Fetishizing pair programming. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. This has to do with the concept of bounded context from Domain Driven Design.). Neckbeards?

Artificial Intelligence 27

Artificial Intelligence Software Architecture Programming C++ 27

The Netflix TechBlog

OCTOBER 18, 2022

It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases.

Java 211

Java Scalability Traffic Architecture 211

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 100

AWS Entertainment Open Source Benchmarking 100