Apple, PayPal, Uber, Netflix, Spotify, etc. Used by numerous global companies A distributed streaming platform for big data processing.
Used by over 80 Fortune 100 companies , Apache Kafka has established itself as a powerful open source platform supporting services in the era of big data. Operating as a distributed streaming platform, Apache Kafka plays a crucial role not only in big data platforms but also in the backend architecture of the Microservice Architecture (MSA) .
Why should you learn Apache Kafka?
📚 A streaming platform with different features from the existing AMQP
Kafka, with its high throughput, scalability, persistence, and high availability, offers unique features compared to existing AMQP-based messaging queues. Message data stored in the broker is not deleted after processing, but rather stored, making it ideal for data reuse.
In addition, Kafka has unique features, such as partitioners, retention, and ISR. Learning these features will help you use and leverage Kafka more effectively.
🚀 Learn stream processing concepts
By developing producer and consumer applications, you'll learn how to process streaming data stored in Kafka. Using Kafka's officially provided StreamsDSL and Processor API, you can rapidly develop and flexibly operate streaming data processing applications. (Lesson updates will follow.)
🎯 Kafka Extension Ecosystem
Kafka includes technologies like Kafka Connect and MirrorMaker to create flexible and fast data pipelines. These reduce repetitive tasks and allow for integrated operation across multiple Kafka clusters, enabling the creation of an effective data collection pipeline.
Additionally, services that provide Kafka as a SaaS allow you to build a cluster and test Kafka in just 5 minutes, so it's great for Proof of Concept (PoC) and learning purposes!
Unique features of this course
Apache Kafka Know-How from a Practical Developer From Apache Kafka basic concepts to application development Learn important concepts about Kafka for free You can follow along.
Kafka Basics - Kafka Development - The Future of Kafka