How Uber Uses Kafka And Spark | Spark Real-Time Data Streaming Explained | #Shorts | #Simplilearn

Apache Kafka is a distributed streaming platform designed for high throughput and fault tolerance. It organizes data into categories called topics. Producers send data to these topics while consumers subscribe to them to process the information. Kafka stores data in a partitioned log format which allows multiple consumers to read the same data at once. The system is highly scalable because it distributes partitions across a cluster of many servers. It is built to handle trillions of events per d

How to Use Kafka for Event-Driven Microservices 🚀 | Real Backend Architecture

La Metamorfosis: Reflexión de Kafka