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 ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. While getting to grips with open banking regulation, ...

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 ...

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 ...

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 ...

Confluent has emerged as a game-changer in the data streaming world, driving the evolution of Apache Kafka from on-premises systems to fully managed cloud-native services. In this interview, we sat ...

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 Big Data streaming project Apache Kafka is all over the news lately, highlighted by Confluent Inc.'s new update of its Kafka-based Confluent Platform 2.0. On the same day as the MapR announcement, ...

Hadoop and big data platforms were originally known for scale, not speed. But the arrival of high performance compute engines like Spark and streaming engines have cleared the way for bringing batch ...

Wouldn't it be great if working with streaming data were just as simple as working with data at rest? And imagine if the two could be modeled, processed and coded against similarly; that would let ...