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 ...

Apache Kafka is a strong choice to handle real-time data streaming as it ingests, persists and presents streams of data for consumption and use by individuals for analytics. Basically, Kafka operates ...

In her journey of enhancing data streaming efficiency, Dharika has been involved in several significant projects both within and outside her organization. One of her key projects was the integration ...

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 ...

We're not quite there yet, but Kafka Streams, a lightweight Java library that works with the Apache Kafka stream data platform, gets us closer, by empowering mainstream Java developers. And today ...

The Apache Kafka, Apache Flink, and Apache Iceberg communities are developing new ways for engineers to manage data and meet application needs.