Notebooks have moved beyond a niche solution at Netflix; they are now the critical path for how everyone runs jobs against the company’s data platform. From creating original content to delivering bufferless streaming, Netflix relies on notebooks to inform decisions and fuel experiments across the company as well as to power its machine learning infrastructure and run over 150,000 jobs against its 100 PB cloud-based data warehouse every day. The goal is to deliver a compelling notebooks experience that simplifies end-to-end workflows for every type of user. To enable this, Netflix is investing deeply in notebook infrastructure and open source projects such as nteract.
Michelle Ufford shares some interesting ways Netflix uses data and some of the big bets the company is making on notebooks, covering architecture, kernels, UIs, and Netflix’s open source collaborations with projects such as Jupyter, nteract, pandas, and Spark.
This session is sponsored by Netflix.
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Follow O'Reilly on:
Twitter: http://twitter.com/oreillymedia
Facebook: http://facebook.com/OReilly
Instagram: https://www.instagram.com/oreillymedia
LinkedIn: https://www.linkedin.com/company-beta/8459/