Today, in this Kafka article, we will discuss Apache Kafka Use Cases and Kafka Applications. Kafka is one of the key technologies in the new data stack, and over the last few years, there is a huge developer interest in the usage of Kafka. Although, if you don’t know about Kafka, i...
Apache Kafka is a popular open source platform for streaming, storing, and processing high volumes of data. Kafka was developed by a team of engineers at LinkedIn, and open-sourced in 2011. Thousands of companies around the world including Datadog use Kafka. Businesses powered by Kafka typically...
LinkedIn developed Kafka in 2011 as a high-throughput message broker for its own use, then open-sourced and donated Kafka to theApache Software Foundation(link resides outside ibm.com). Today, Kafka has evolved into the most widely used streaming platform, capable of ingesting and processingtrill...
According to the creators of Apache Kafka, the original use case for Kafka was to track website activity - including page views, searches, uploads or other actions users may take. This kind of activity tracking often requires a very high volume of throughput because messages are generated for ...
Configure Kafka Dynamic Topics Starting from EMQX v5.7.2, you can dynamically configure the Kafka topics in the Kafka Producer Sink configuration using the environment variables or variable templates. This section introduces these two use cases in dynamic topic configuration. ...
This is the JAAS file used to run the use cases in this article: KafkaServer { org.apache.kafka.common.security.plain.PlainLoginModule required username="admin"password="admin"user_admin="admin"user_alice="alice"user_bob="bob"user_charlie="charlie";}; ...
Take a look at some ksqlDB use case recipes for examples of common patterns. Documentation See the ksqlDB documentation for the latest stable release. Use Cases and Examples Materialized views ksqlDB allows you to define materialized views over your streams and tables. Materialized views are define...
Kafka Tutorials Y Y Collection of common event streaming use cases, with each tutorial featuring an example scenario and several complete code solutions KSQL UDF Y N Advanced KSQL User-Defined Function (UDF) use case for connected cars KSQL workshop N Y showcases Kafka event stream processing...
This article provides an introduction to Spark including use cases and examples. It contains information from the Apache Spark website as well as the bookLearning Spark - Lightning-Fast Big Data Analysis. What is Apache Spark? An Introduction ...
Low latency– To address traditional use cases of messaging, which require low latency. Fault Tolerance– The Kafka cluster should handle failures with the masters and data bases. Kafka Messaging If you are familiar with working of a messaging system, you may find that Kafka reads and writes ...