This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and ...

Choosing a stream processor for your app can be challenging with many options to choose from. The best choice depends on individual use cases. In this article, the authors discuss a stream ...

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and real-time video analytics—the traditional batch-first data processing approach ...

Hence, many stream processing applications have inherent time semantics, such as applications that produce aggregates in intervals or evaluate temporal patterns on a sequence of events.

Streaming data is hot, and open source stream processing platform Apache Kafka is growing in popularity, significantly. In this guest post, Neha Narkede, CTO and co-founder of Confluent (the ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security ...

What Is the Importance of Stream Processors in GPUs?. Most newer video cards have stream processors built into their graphics processing unit. The GPU may also be built into the motherboard or in ...

Confluent, Inc., the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries ...