Data Engineering Efficiency Video 
The Netflix TechBlog
DECEMBER 14, 2023
Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr. In this video, Sr.
The Netflix TechBlog
JUNE 20, 2024
A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.
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The Netflix TechBlog
SEPTEMBER 18, 2020
They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet. I focus on improving experimentation methodology to test how well the newest files are working: do they need less bits to stream while providing a higher video quality? benefit more?
The Netflix TechBlog
SEPTEMBER 10, 2019
ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Our data scientists faced numerous challenges in our previous infrastructure.
The Netflix TechBlog
JANUARY 11, 2022
To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?
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.
High Scalability
MARCH 3, 2020
Essilen Research 's free video series can help. Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Who's Hiring?
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