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 189

Data Engineering Engineering Entertainment Big Data 189

The Netflix TechBlog

JUNE 1, 2021

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

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Adrian Cockcroft

FEBRUARY 13, 2023

STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions. DOP315 Sustainability in the cloud with Rust and AWS Graviton  — Emil Lerch AWS Principal DevOps Specialist and Esteban Kuber AWS Principal Software Engineer.

AWS 64

AWS Energy Architecture Programming 64

The Netflix TechBlog

DECEMBER 3, 2022

A small but growing contingency of data scientists and analytics engineers use R, backed by the Sparklyr interface or other data processing tools, like Metaflow. With an understanding that the data landscape and the technologies employed by end-users are not homogenous, Dataflow creates a malleable path toward.

Best Practices 358

Best Practices Code Testing Data Engineering 358

The Netflix TechBlog

MAY 26, 2020

Requirements There are multiple ways you can solve this problem and many technologies to choose from. As with any sustainable engineering design, focusing on simplicity is very important. Spark could look up and retrieve the data in the s3 files that the Mouthful represented.

Network 150

Network Tuning AWS Big Data 150

Abhishek Tiwari

JULY 20, 2019

As Steve Jobs wisely said, Don’t Be Trapped by Dogma – Which is Living With the Results of Other People’s Thinking In my view, technology executives and engineering leaders are overly obsessed with the Spotify model. Specialisation could be around products, business process, or technologies. And there lies the problem.

Engineering 61

Engineering Retail Airlines Healthcare 61

All Things Distributed

OCTOBER 7, 2015

Over the last several years, AWS has delivered on a comprehensive set of services to help customers collect, store, and process their growing volume of data. While BI solutions have existed for decades, customers have told us that it takes an enormous amount of time, engineering effort, and money to bridge this gap.

Cloud 137

Cloud Big Data AWS Analytics 137