Value stream map vs. process map, which is better for you? As with many tools and methods in Six Sigma, there isn’t a ...

Stream processors are well suited for traditional GPU-focused tasks such as image, video and signal processing. It is becoming increasingly common, however, to also utilize the stream processors ...

Consumers expect immediate, personalized gratification. Real-time distributed stream processing enables companies to meet those expectations. However, many see the technology as being out of reach for ...

2. Scalability and performance Transactional stream processing systems are designed for scalability. They can handle large volumes of data with ease, thanks to their distributed nature.

A quantum processor manipulates qubits in order to complete tasks. It is akin to a conventional computer's central processing unit (CPU), which performs calculations using the information held in ...

The process of creating a value stream map takes all the necessary people, processes, information and inventory, and displays them in a flowchart format. By visualizing all elements that go into ...

Decodable, the well-funded real-time data engineering and stream processing platform based, in part, on the Apache Flink open source project, is launching a major update today that aims to make ...

Confluent Inc. today announced plans to buy Immerok GmbH, a startup with a platform that makes it easier to develop stream processing applications.. The terms of the deal were not disclosed ...

You still probably want to gather that same input data. You still probably want to have some kind of maintained context that you're using. You're still going to be triggered off a stream of ...

Stream processing is an alternative to batch processing. Most users want to do something with the data at the time it is created, rather than wait for some predetermined interval.