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?
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.
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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.
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. But scale posed a challenge.
O'Reilly
SEPTEMBER 15, 2021
64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male. Salaries by Gender.
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.
The Netflix TechBlog
DECEMBER 18, 2020
I completed a combined math bachelors + masters program, but without any professional guidance, networking, or internships, I was entirely lost. I entered a PhD program in Computer Science and shortly thereafter discovered I really liked the coding aspects more than the theory. I then enrolled at a local public college at 16.
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