Michelle Ufford leads the Big Data Tools engineering team at Netflix, where she's responsible for platform innovation and usability tooling for Netflix’s industry-leading data platform. Some of her team's current projects include Jupyter notebooks, workflow orchestration, platform alerting, data quality, and machine learning. Prior to that, she led data engineering, data management, and platform architecture for GoDaddy, where she set a TPS record for SQL Server and helped pioneer Hadoop data warehousing techniques. Michelle is also a published author, patented developer, and award-winning open source contributor. She currently lives in the San Francisco bay area.
Netflix is one of the most successful companies in the world. It’s also one of the most data-driven, too. Data powers Netflix. It informs decisions and challenges assumptions across the entire company. It fuels experimentation and innovation at unprecedented scale. It helps us discover fantastic content and deliver personalized experiences for our 150 million subscribers around the world.
In this talk, you’ll get a behind-the-scenes sneak peek into what it takes to make that possible. Using Jupyter notebooks as a case study, we’ll explore some of the ways Netflix leverages data, give you a quick overview of the Netflix Data Platform, discuss our motivations for investing in Jupyter, and share some of the early results we’ve been seeing. We’ll wrap up with ways that each data role—including data scientists, data engineers, data analysts, PMs, and more—are actually leveraging notebooks today. Throughout the talk, we’ll share actionable ideas and lessons learned that you can take back to your team and company.