Real-Time Streaming Platforms
Discover the core concepts of real-time streaming data platforms including Apache Kafka, Flume, Spark Streaming, and Storm. Learn their distinct roles, use cases, and fault-tolerance features to understand how streaming integrates with big data. Gain practical insights into scalable message delivery, log aggregation, and real-time computation along with simpler alternatives like Redis and RabbitMQ.
We'll cover the following...
Apache Kafka
Apache Kafka is one of the most famous streaming platforms. It was created by LinkedIn initially and, after a few years, was donated to the Apache Foundation.
Kafka is a distributed streaming platform. We can use it as a real-time messaging system with a high fault tolerance capability. In other words, it means that our messages will be delivered fast, and if it fails, we can figure it out quickly. A message can be anything from a string, to a serialized object, to a blob.
Kafka is also very famous for its ...