Tulika
Bhatt
Senior Software Engineer at Netflix
"Streaming at Scale: Netflix’s Real-Time Data Magic for Smarter Recommendations"
"Streaming at Scale: Netflix’s Real-Time Data Magic for Smarter Recommendations"
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Session: Streaming at Scale: Netflix’s Real-Time Data Magic for Smarter Recommendations
At Netflix, we generate approximately more than 10 billion impressions daily. These impressions, essential for powering video ranker algorithms and computing adaptive pages, significantly influence a viewer's browsing experience. With the evolution of user interfaces to be more responsive to in-session interactions, coupled with the growing demand for real-time adaptive recommendations, it has become highly imperative that these impressions are provided on a near real time basis. This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost.Key Takeaways
- Learn how Netflix employs a hybrid architecture that combines batch processing with real-time updates to manage 10 billion plus daily impressions, balancing scalability, speed, and cost-effectiveness.
- Understand the strategies Netflix employs to statistically reduce impression data while retaining the most critical information, enabling efficient data processing and accurate real-time recommendations.
- Gain insights into the complexities and operational challenges of managing high-volume, real-time data, and discover the innovative strategies Netflix uses to navigate these issues and deliver seamless viewer experiences.
Bio
Tulika Bhatt is a Senior Software Engineer at Netflix, specializing in Personalization Data Engineering. With nearly a decade of experience spanning industries such as digital media, fintech, and telecommunications, Tulika has a proven track record of leveraging data to drive impactful user experiences.At Netflix, Tulika manages datasets that power content recommendations for over 250 million plus subscribers, processing trillions of data points annually. Previously, she held key roles at BlackRock, developing cloud-native financial applications and optimizing machine learning workflows, and at Verizon, where she enhanced self-service adoption through innovative web solutions. An alumna of Columbia University (M.S. in Computer Science), Tulika is passionate about sharing knowledge through speaking engagements, mentoring aspiring engineers, and contributing to industry conversations on data-driven innovation.
