Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and ...

Confluent, Inc.'s user markets for data streaming have a long runway ahead. Open source Apache Kafka is ubiquitously used for data streaming. Confluent's wheelhouse is scalable data streaming and ...

Streaming data platform Kafka uses a “publish-and-subscribe” model that links data sources to data receivers to enable constant and distributed monitoring. Written by eWEEK content and product ...

Key Takeaways Build data integration and processing applications using Apache Kafka and KSQL for use cases like customer operations, operational dashboard, and ad-hoc analytics. Main benefits of ...

When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Aiven, a cloud-data platform based in Helsinki, has fleshed out an ...

The Apache Kafka distributed data streaming engine has finally hit version 1.0, a milestone that indicates the platform is finally ready for mainstream business. “Apache Kafka is playing a bigger role ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...