Javier Lopez and Mihail Vieru spoke at Reactive Summit 2016 Conference about cloud-based data integration and distribution platform used for stream processing in business intelligence use cases ...

SPI describes stream processing as a programming model and processor architecture designed for parallel processing with compiler-managed hierarchy. The architecture achieves high performance through ...

Lambda architecture has been a popular solution that combines batch and stream processing. Kartik Paramasivam at LinkedIn wrote about how his team addressed stream processing and Lambda ...

This Lambda architecture, as it would later become known, would combine a speed layer (consisting of Storm or a similar stream processing engine), a batch layer (MapReduce on Hadoop), and a server ...

For event-driven architecture — the kind of system essential for stream processing — you need two key elements: storage and processing. And Apache has both of them covered. Apache Kafka is a ...

VoltDB has announced a Smart Stream Processing Architecture to help organizations drive better monetization of their real-time data which is being accelerated by 5G, AI, and machine learning trends.

At Confluent, we believe strongly that this new type of data architecture, centered around real-time streams and stream processing, will become ubiquitous in the years ahead.

Data Stream Processing and Streaming Analytics These techniques should be viewed as complementary with different functions in an overall IT technology stack. In fact, many vendors are combining ...

TOKYO, Oct 8, 2019--- Fujitsu Limited will launch a new stream data processing platform for service providers to maximize the use of big data collected from connected cars. The new platform ...

VoltDB’s new Smart Stream Processing Architecture significantly simplifies the data processing architecture by reducing the three disparate functions for ingestion, processing and storage down to a ...