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 ...

Moreover, real-time stream processing technology is empowering edge computing and the Internet of Things. In these environments, data needs to be processed quickly to ensure the competitiveness of AI ...

Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data ...

Confluent Inc. today announced new features in its cloud service that make it easier for users of its Apache Kafka-based streaming engine to store data in the Apache Iceberg table format. The new ...

Apache Kafka is on a roll. Last year it registered a 260 percent jump in developer popularity, as Redmonk’s Fintan Ryan highlights, a number that has only ballooned since then as IoT and other ...

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 ...

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 ...

Streaming is hot. The demand for real-time data processing is rising, and streaming vendors are proliferating and competing. Apache Kafka is a key component in many data pipeline architectures, mostly ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Most enterprises are using data analytics to gain competitive advantage, but the field of ...