SAM is built on top of Storm and Kafka (and Druid). Shared What do they have in common? Both have easy UI development that hides complexity underneath. Both are components of Hortonworks Data Flow (HDF) distribution. Both share Kafka (see below). Both are managed by th...
Stream processing: I really liked the definition of stream processing fromHarperDBwhich states, “Fundamentally, stream processing is about the continuous and immediate management of data. A notable distinction lies in its capability to handle multiple data streams, possibly originating from varied sources...
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. ...
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-...