Apache Kafka is an open-source, distributed, and publish-subscribe messaging system. Kafka allows you to handle and maintain the data stream in real-time from different sources, applications, and websites. Kafka helps you to communicate between the producer and consumer that is based on messages. Kafka allows developers to design a high-end distributed application that ensures the message communication. Kafka can permit a large number of consumers, either ad-hoc requests or permanent.
You can use Kafka for real-time data streaming, big data collection, and real-time data analysis. It can be used with in-memory microservices ensuring durability. It will allow you to feed events to complex event streaming systems. It is one of the most commonly used fault-tolerant messaging systems. Kafka is used where you cannot consider using RabbitMQ, AMQP like services to handle a high volume of data. Kafka works as a data stream to feed the Hadoop big data lakes. It allows you to track service calls where you cannot use traditional MoM.
Everyone wants a quick response from websites or applications. With time customer expectation increases, and sometimes it becomes challenging to handle many customer requests within time. You can solve the problem by improving cache services, but sometimes applications have to deal with real-time data. Kafka comes into the picture to solve the request on an urgent basis.
Kafka is the big data messaging system handling a huge amount of messages in a single day for big companies. Kafka's scope is growing, and people are willing to learn more about it and how to implement it. There are several online courses that you can go through like coursera, tutorials point and many more.
No, Kafka is a software platform that is used to stream-process the big data. It is written in the Scala and Java programming language. It ensures a high-throughput, low-latency platform to handle the real-time data feed.
You can choose your way to learn Kafka, either online or offline, via considering books. You can choose a book- Kafka: The Definitive Guide. There are several online courses like udemy, coursera from where you can learn the basics and work of the Kafka system.
Kafka basically works on four APIs- producer, consumer, streams, and connector. Applications (as producers) create and send messages to the Kafka Node (as broker). These send messages, also known as records, which get processed by another application called the consumer. The sent message is stored in a topic. Once the consumer subscribes to that particular topic, the consumer will receive the message. In case the size of the topic gets bigger, it splits into small topics for better performance. These messages are sent and received in a particular order.