Building data mesh at scale: Transforming real-time analytics at Netflix
This session explores how Netflix evolved its Data Mesh architecture to meet the demands of real-time analytics at massive scale. Learn how the team scaled a system that processes trillions of events per day and transformed it into a powerful stream processing platform.
As data continues to grow in volume and velocity, organizations are shifting toward stream processing to drive faster, smarter decisions. In this session, Jain and Pires share how Netflix reimagined its Data Mesh architecture to support real-time analytics across the business. Originally designed as a data movement platform, Netflix's Data Mesh has evolved into a scalable, distributed system powered by Streaming SQL. The talk outlines the platform’s transformation into a comprehensive stream processing engine, highlighting the design principles, tooling choices, and operational lessons learned along the way. Attendees will gain insights into how Netflix built a platform capable of processing trillions of events daily - supporting everything from product experimentation to customer personalization - and how others can apply these patterns to their own real-time data challenges.
Building data mesh at scale: Transforming real-time analytics at Netflix
This session explores how Netflix evolved its Data Mesh architecture to meet the demands of real-time analytics at massive scale. Learn how the team scaled a system that processes trillions of events per day and transformed it into a powerful stream processing platform.
Presented by
Moderator
Sujay Jain
Software Engineer, Netflix
Panelist
Panelist
Panelist
As data continues to grow in volume and velocity, organizations are shifting toward stream processing to drive faster, smarter decisions. In this session, Jain and Pires share how Netflix reimagined its Data Mesh architecture to support real-time analytics across the business. Originally designed as a data movement platform, Netflix's Data Mesh has evolved into a scalable, distributed system powered by Streaming SQL. The talk outlines the platform’s transformation into a comprehensive stream processing engine, highlighting the design principles, tooling choices, and operational lessons learned along the way. Attendees will gain insights into how Netflix built a platform capable of processing trillions of events daily - supporting everything from product experimentation to customer personalization - and how others can apply these patterns to their own real-time data challenges.
Building data mesh at scale: Transforming real-time analytics at Netflix
This session explores how Netflix evolved its Data Mesh architecture to meet the demands of real-time analytics at massive scale. Learn how the team scaled a system that processes trillions of events per day and transformed it into a powerful stream processing platform.
Presented by
As data continues to grow in volume and velocity, organizations are shifting toward stream processing to drive faster, smarter decisions. In this session, Jain and Pires share how Netflix reimagined its Data Mesh architecture to support real-time analytics across the business. Originally designed as a data movement platform, Netflix's Data Mesh has evolved into a scalable, distributed system powered by Streaming SQL. The talk outlines the platform’s transformation into a comprehensive stream processing engine, highlighting the design principles, tooling choices, and operational lessons learned along the way. Attendees will gain insights into how Netflix built a platform capable of processing trillions of events daily - supporting everything from product experimentation to customer personalization - and how others can apply these patterns to their own real-time data challenges.
Building data mesh at scale: Transforming real-time analytics at Netflix
The rise of generative AI has shattered the traditional notion of a “golden path” in platform engineering — a single, curated experience designed to streamline developer workflows.
Presented by
Host
Sujay Jain
Software Engineer, Netflix
Panelist
Panelist
Panelist
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