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

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

JULY 6, 2022

Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. This work would have not been possible without the solid, in-depth collaborations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

DZone

DECEMBER 21, 2020

Setting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

Big Data 196

Big Data Google Scalability Processing 196

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Learning through data is in Netflix’s DNA. We use A/B tests to introduce new product features, such as our daily Top 10 row that help our members discover their next favorite show.

Analytics 207

Analytics C++ Innovation Engineering 207