and SQL-based transformations. AWS KDA offered scalability, easy configuration, and seamless AWS integration. The team utilized PyFlink for development, despite the more mature Java/Scala APIs, focusing on consuming Kafka streams and outputting to an AWS Aurora database. ...
In essence, Kafka acts as a central hub for real-time data, allowing applications to publish, subscribe to, and process data streams as needed. This makes it a valuable tool for various tasks such as: Building real-time data pipelines:Kafka can efficiently move data between different systems ...
Kafka as a Messaging System How does Kafka's notion of streams compare to a traditional enterprise messaging system? Messaging traditionally has two models: queuing and publish-subscribe. In a queue, a pool of consumers may read from a server and each record goes to one of them; in publish-...