Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

Data messaging and streaming is a key part of an event-driven architecture, which is a software architecture or programming approach built around the capture, communication, processing, and ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

According to Aiven ’s data management report event streaming and message queues are on track to become the second most popular data management systems among digital native companies in the near ...

Enabler Functions Evolved with Event Streaming The European Central Bank’s (ECB) report in 2020 concludes, “High-frequency data and its analysis via AI will play a structural role in the ...

This is the latest evolution of Kafka, the event stream processing system that emerged at LinkedIn when the social media company exceeded the capability of its relational database. In his Kafka Summit ...

The Kafka project managed by the Apache Software Foundation (ASF) has reached version 3.9. According to the release notes, this is the last major update of the 3.x series of the event and data ...

Aiven, a cloud-data platform based in Helsinki, has fleshed out an open-source ecosystem for Apache Kafka, a popular event-streaming platform. The new offerings promise to help enterprises ...