POWERING RECOMMENDATIONS FOR A GLOBAL STREAMING PLATFORM

THE CLIENT AND THE CHALLENGE

A streaming platform had millions of users but lacked the ability to process large volumes of behavioral data in real-time for recommendations.

THE SOLUTION

We built a Big Data pipeline.

• REAL-TIME DATA PROCESSING: Hadoop, Spark, Kafka pipelines.

• DATA LAKE ARCHITECTURE: Centralized and scalable.

• PERSONALIZED RECOMMENDATIONS: AI-driven engine.

THE IMPACT

• 22% increase in subscriptions.

• 2x engagement growth.

• Reports generated in minutes, not hours.