Lessons Learned: Building a Scalable Game Analytics Platform at Netflix
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Media and Entertainment |
Technologies | Apache Spark, Apache Iceberg |
Skill Level | Beginner |
Duration | 40 min |
Over the past three years, Netflix has built a catalog of 100+ mobile and cloud games across TV, mobile and web platforms. With both internal and external studios contributing to this diverse ecosystem, building a robust game analytics platform became crucial for gaining insights into player behavior, optimizing game performance and driving member engagement.In this talk, we’ll share our journey of building Netflix’s Game Analytics platform from the ground up. We’ll highlight key decisions around data strategy, such as whether to develop an in-house solution or adopt an external service. We’ll discuss the challenges of balancing developer autonomy with data integrity and the complexities of managing data contracts for custom game telemetry, with an emphasis on self-service analytics.
Attendees will learn how the Games Data team navigated these challenges, the lessons learned and the trade-offs involved in building a multi-tenant data ecosystem that supports diverse stakeholders.
Session Speakers
Bhargavi Reddy Dokuru
/Senior Data Engineer
NETFLIX INC
Michael Cuthbert
/Snr. Software Engineer
Netflix