What is Kafka?

What is Kafka?

2.3.0 / June 25, 2019; 2 months ago (2019-06-25) Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

What is streaming data in Kafka?

Streaming data is data that is continuously generated by thousands of data sources, which typically send the data records in simultaneously. A streaming platform needs to handle this constant influx of data, and process the data sequentially and incrementally. Kafka provides three main functions to its users:

What is Kafka cluster in Apache Kafka?

Apache Kafka runs as a cluster on one or more servers that can span multiple datacenters. An instance of the cluster is broker. Producer: It writes data to the brokers. Consumer: It consumes data from brokers. Apache Kafka clusters can be running in multiple nodes.

What is Apache Kafka metrics?

Originally started by LinkedIn, later open sourced Apache in 2011. Use cases of Kafka Metrics − Apache Kafka is often used for operational monitoring data. This involves aggregating statistics from distributed applications to produce centralized feeds of operational data.

What are the advantages of Kafka model?

Finally, Kafka’s model provides replayability, which allows multiple independent applications reading from data streams to work independently at their own rate. Kafka’s partitioned log model allows data to be distributed across multiple servers, making it scalable beyond what would fit on a single server.

Kafka is an open-source distributed stream-processing platform that is capable of handling over trillions of events in a day. This massive platform has been developed by the LinkedIn Team, written in Java and Scala, and donated to Apache. Kafka is a publish-subscribe messaging system.

How to stream data from Kafka?

Since there are multiple options to stream from, we need to explicitly state from where you are streaming with format (“kafka”) and should provide the Kafka servers and subscribe to the topic you are streaming from using the option. df.printSchema () returns the schema of streaming data from Kafka.

What is LinkedIn Kafka and how to use it?

This massive platform has been developed by the LinkedIn Team, written in Java and Scala, and donated to Apache. Kafka is a publish-subscribe messaging system. So, in this article, we are going to learn how Kafka works and how to use Kafka in our .NET Application. To learn how to install, configure, and run Kafka, please read this article.

How do Kafka producers and consumers work?

Basically, Kafka producers write to the Topic and consumers read from the Topic. Kafka runs on a cluster on the server and it is communicating with the multiple Kafka Brokers and each Broker has a unique identification number.