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Learn more: https://cnfl.io/kafka-on-the-go-events | How do Kafka events work? With Kafka being an event streaming system, Kafka handles data as a continuous stream of events. Events are fundamental to Kafka—the de facto real-time stream processing system. Danica Fine (Senior Developer Advocate, Confluent) explains that events are records of “something” that happened, for example, a click, an order, or a payment. Events are immutable, which means they cannot be changed once the record has been created. LEARN MORE ► What is Apache Kafka?: https://cnfl.io/what-is-apache-kafka-article ► Kafka 101 – What Are Events?: https://cnfl.io/intro-to-apache-kafka-what-are-events -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #streamprocessing #apachekafka #kafka #confluent
What is Apache Kafka and how does it work? Learn Apache Kafka the fastest, easiest way possible - on the go, from the team that originally created Kafka. Let’s start by understanding Kafka basics, core concepts, and terms in a series of quick, 1-minute explainer videos with Confluent’s developer advocates, Danica Fine and Kris Jenkins. In this series, the duo explains Kafka fundamentals, including: - Kafka topics - Kafka consumers and producers - Events - Partitions Learn everything there is to know about Kafka, as well as the real-time data streaming ecosystem while on the go—helping developers and software engineers to get the most out of Apache Kafka and the Cloud. Check out these snack-sized videos and learn more.