Explanation: Partitioning topics and creating consumer groups are two features of Kafka that contribute to scalability in the architecture. Partitioning topics allows for the distribution of data ...

Confluent Propels Data Architecture into Event Streaming Era with $125 Million Series D. ... reviewing and downloading extensions for the Apache Kafka and Confluent Platform ecosystems.

Eventsource pattern used to form a tote pool. With a JDBC stream connector to demostrate how to auto create and insert data sourced up stream from Confluence Kafka Schema Registry. So we create a ...

At Kafka Summit, Confluent announces a new phase in its cloudy Kafka efforts, including a preview feature called Cluster Linking and the GA release of self-balancing clusters , ksqlDB and infinite ...

With Kafka, data streaming can be stored in different ways, including with open source ksqlDB technology led by Confluent. Querying data, which is what stream processor Apache Flink does, is often ...