How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data…

The blog post discusses Netflix's approach to building a Real-Time Distributed Graph (RDG) for improving data processing and analytics related to user interactions across multiple devices. It highlights the challenges faced with traditional data systems and how a graph representation offers advantages such as efficient relationship queries and adaptability. Key technologies used include Apache Kafka for data ingestion and Apache Flink for processing. The post is the first in a series detailing the architecture and implementation of the RDG.