Published inNetflix TechBlog·10 hours agoAll of Netflix’s HDR video streaming is now dynamically optimizedby Aditya Mavlankar, Zhi Li, Lukáš Krasula and Christos Bampis High dynamic range (HDR) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized (DO) encoding helps achieve optimized bitrate-quality tradeoffs depending on…Video Compression7 min readVideo Compression7 min read
Published inNetflix TechBlog·2 days agoNetflix Original Research: MIT CODE 2023Netflix was thrilled to be the premier sponsor for the 2nd year in a row at the 2023 Conference on Digital Experimentation (CODE@MIT) in Cambridge, MA. …Research3 min readResearch3 min read
Published inNetflix TechBlog·Nov 20Incremental Processing using Netflix Maestro and Apache Icebergby Jun He, Yingyi Zhang, and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset. This not only reduces…Data Pipeline16 min readData Pipeline16 min read
Published inNetflix TechBlog·Nov 15Psyberg: Automated end to end catch upBy Abhinaya Shetty, Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state…Data6 min readData6 min read
Published inNetflix TechBlog·Nov 15Diving Deeper into Psyberg: Stateless vs Stateful Data ProcessingBy Abhinaya Shetty, Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team. In this post, we…Data7 min readData7 min read
Published inNetflix TechBlog·Nov 15Streamlining Membership Data Engineering at Netflix with PsybergBy Abhinaya Shetty, Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our…Data Pipeline8 min readData Pipeline8 min read
Published inNetflix TechBlog·Nov 13Detecting Speech and Music in Audio ContentIroro Orife, Chih-Wei Wu and Yun-Ning (Amy) Hung Introduction When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist), have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation? From the violin melody accompanying a pivotal scene to the soaring orchestral…Speech8 min readSpeech8 min read
Published inNetflix TechBlog·Nov 8The Next Step in Personalization: Dynamic SizzlesAuthors:Bruce Wobbe, Leticia Kwok Additional Credits:Sanford Holsapple, Eugene Lok, Jeremy Kelly Introduction At Netflix, we strive to give our members an excellent personalized experience, helping them make the most successful and satisfying selections from our thousands of titles. We already personalize artwork and trailers, but we hadn’t yet personalized sizzle reels…Personalization7 min readPersonalization7 min read
Published inNetflix TechBlog·Nov 6Building In-Video SearchBoris Chen, Ben Klein, Jason Ge, Avneesh Saluja, Guru Tahasildar, Abhishek Soni, Juan Vimberg, Gustavo Carmo, Meenakshi Jindal, Elliot Chow, Amir Ziai, Varun Sekhri, Santiago Castro, Keila Fong, Kelli Griggs, Mallia Sherzai, Robert Mayer, Andy Yao, Vi Iyengar, Jonathan Solorzano-Hamilton, Hossein Taghavi, Ritwik Kumar Introduction Today we’re going to take a…Machine Learning6 min readMachine Learning6 min read
Published inNetflix TechBlog·Nov 3Streaming SQL in Data MeshDemocratizing Stream Processing @ Netflix By Guil Pires, Mark Cho, Mingliang Liu, Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh”…Stream Processing7 min readStream Processing7 min read
