Value stream map vs. process map, which is better for you? As with many tools and methods in Six Sigma, there isn’t a one-size-fits-all approach to mapping things out. Both of these tools have ...

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 ...

But creating a value stream map can be a long process involving multiple departments and several key stakeholders, so you might want to invest in software designed to make the process easier.

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 ...

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 ...

What Is the History of Value Stream Management? Value stream management has a long history dating back to the early 20th century. Rooted in lean management philosophies, it was first introduced in the ...

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.

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 ...

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.

Atlas Stream Processing, a solution that aggregates and enriches streams of high velocity, rapidly changing event data, and unifies working with data, is now in public preview.