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 207

Analytics C++ Innovation Engineering 207

Dynatrace

JULY 6, 2022

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. This requires significant data engineering efforts, as well as work to build machine-learning models. Monitoring automation is ongoing. An observability platform for IT automation.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

The Agile Manager

JULY 31, 2022

There are shadow IT teams of developers or data engineers that spring up in areas like operations or marketing because the captive IT function is slow, if not outright incapable, of responding to internal customer demand. There are also shadow activities of large software delivery programs. The scope taken out of the 1.0

Programming 59

Programming Engineering Data Engineering Innovation 59

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions.

AWS 64

AWS Energy Architecture Programming 64

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. Figure 3 (above).

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Abhishek Tiwari

JULY 20, 2019

I also have a strong feeling that long-lived teams are not good for innovation and disruption. Contrarian view What I am proposing here is some key principals to change how you deploy your engineers to do their best work in a fast-paced environment. Teach your engineers how to do teaming, reteaming, and onboard new team members.

Engineering 61

Engineering Retail Airlines Healthcare 61

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243